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Banking and Finance Dissertation Topics – Selected for Business Students

Published by Owen Ingram at January 2nd, 2023 , Revised On August 16, 2023

Looking for an interesting banking and finance research idea for your dissertation? Your search for the best finance and banking dissertation topics ends right here because, a t ResearchProspect, we help students choose the most authentic and relevant topic for their dissertation projects.

Bank taxes, financial management, financial trading, credit management, market analysis for private investors, economic research methods, the economics of money and banking, international trade and multinational business, the wellbeing of people and society, principles and practices of banking, management and cost accounting, governance and ethics in banking, investment banking, introductory econometrics, and capital investment management are among the many topics covered in banking and finance.

Without further ado, here is our selection of the besting banking and finance thesis topics and ideas.

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The following dissertation topics for banking will assist students in achieving the highest possible grades in their dissertation on banking finance:

List of Banking and Finance Dissertation Topics

  • A Comprehensive Analysis of the Economic Crisis as It Relates to Banking and Finance
  • A Critical Review of Standard Deviation in Business
  • The Political and Economic Risks Involving National Bank Transactions
  • A Study of Corporate Developments in European Countries Regarding Banking and Finance
  • Security Measures Implemented in Financial Institutions Around the World
  • Banking and Finance Approaches from Around the World
  • An in-depth study of the World Trade Organization’s role in banking and finance
  • A Study of the Relationship Between Corporate Strategy and Capital Structures
  • Contrasting global, multinational banks with regional businesses
  • Preventing Repetitive Economic Collapse in National and Global Finances
  • The Motivations for Becoming International Expats All Over the World
  • The Difference Between Islamic Banking and Other Religious Denominations in Banking and Financial Habits
  • How Can Small-Scale Industries Survive the Global Banking Demands?
  • A Study of the Economic Crisis’s Impact on Banking and Finance
  • The Impact of the International Stock Exchange on Domestic Bank Transactions
  • A 2025 Projected Report on World Trade and Banking Statistics
  • How Can We Address the Issue of the Government’s Financial Deficit in Banking?
  • A Comparison of Contemporary and Classic Business Models and Companies’ Banking and Financial Habits
  • Which of the following should be the principal area of money investment that has arrived at the bank in the form of deposits?
  • How to strike a balance between investing money in various plans to generate a profit and managing depositor trust
  • What are banks’ responsibilities to their depositors, and how may such liabilities be managed without jeopardising depositor trust?
  • How the new banking financing laws enacted by governments throughout the world are better protecting depositors’ rights?
  • What is the terminology related to banking finance, which oversees the investment of deposited funds as well as the banks’ responsibilities to depositors?
  • Explain the most recent developments in research related to the topic of banking finance
  • How research in the banking finance industry assists governments and banking authorities in properly managing their finances?
  • What is the most recent credit rating software that assists in determining the rewards and dangers of investing bank funds in the stock market? 
  • How banking finance assists the world’s top banks in managing consumer expectations and profit?
  • The negative impact of a manager’s poor management of a bank’s banking financing
  • Is it feasible to conduct a banking firm without the assistance of banking finance management?
  • What are the most significant aspects of banking financing that allow businesses to develop without constraints?

The importance of banking finance cannot be overstated. These are only a few of the most extensive subjects on which you may write a banking and finance dissertation. Remember that if you want to succeed in your studies, you must be able to offer reliable numbers and facts on the history and current state of banking and finance throughout the world. Otherwise, you will very certainly be unable to justify your study effectively. We hope you can take some inspiration and ideas from the above banking and finance dissertation topics .

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  • Consider ethical and global aspects.

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Research Topics & Ideas: Finance

120+ Finance Research Topic Ideas To Fast-Track Your Project

If you’re just starting out exploring potential research topics for your finance-related dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research topic ideation process by providing a hearty list of finance-centric research topics and ideas.

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . To develop a suitable education-related research topic, you’ll need to identify a clear and convincing research gap , and a viable plan of action to fill that gap.

If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, if you’d like hands-on help, consider our 1-on-1 coaching service .

Overview: Finance Research Topics

  • Corporate finance topics
  • Investment banking topics
  • Private equity & VC
  • Asset management
  • Hedge funds
  • Financial planning & advisory
  • Quantitative finance
  • Treasury management
  • Financial technology (FinTech)
  • Commercial banking
  • International finance

Research topic idea mega list

Corporate Finance

These research topic ideas explore a breadth of issues ranging from the examination of capital structure to the exploration of financial strategies in mergers and acquisitions.

  • Evaluating the impact of capital structure on firm performance across different industries
  • Assessing the effectiveness of financial management practices in emerging markets
  • A comparative analysis of the cost of capital and financial structure in multinational corporations across different regulatory environments
  • Examining how integrating sustainability and CSR initiatives affect a corporation’s financial performance and brand reputation
  • Analysing how rigorous financial analysis informs strategic decisions and contributes to corporate growth
  • Examining the relationship between corporate governance structures and financial performance
  • A comparative analysis of financing strategies among mergers and acquisitions
  • Evaluating the importance of financial transparency and its impact on investor relations and trust
  • Investigating the role of financial flexibility in strategic investment decisions during economic downturns
  • Investigating how different dividend policies affect shareholder value and the firm’s financial performance

Investment Banking

The list below presents a series of research topics exploring the multifaceted dimensions of investment banking, with a particular focus on its evolution following the 2008 financial crisis.

  • Analysing the evolution and impact of regulatory frameworks in investment banking post-2008 financial crisis
  • Investigating the challenges and opportunities associated with cross-border M&As facilitated by investment banks.
  • Evaluating the role of investment banks in facilitating mergers and acquisitions in emerging markets
  • Analysing the transformation brought about by digital technologies in the delivery of investment banking services and its effects on efficiency and client satisfaction.
  • Evaluating the role of investment banks in promoting sustainable finance and the integration of Environmental, Social, and Governance (ESG) criteria in investment decisions.
  • Assessing the impact of technology on the efficiency and effectiveness of investment banking services
  • Examining the effectiveness of investment banks in pricing and marketing IPOs, and the subsequent performance of these IPOs in the stock market.
  • A comparative analysis of different risk management strategies employed by investment banks
  • Examining the relationship between investment banking fees and corporate performance
  • A comparative analysis of competitive strategies employed by leading investment banks and their impact on market share and profitability

Private Equity & Venture Capital (VC)

These research topic ideas are centred on venture capital and private equity investments, with a focus on their impact on technological startups, emerging technologies, and broader economic ecosystems.

  • Investigating the determinants of successful venture capital investments in tech startups
  • Analysing the trends and outcomes of venture capital funding in emerging technologies such as artificial intelligence, blockchain, or clean energy
  • Assessing the performance and return on investment of different exit strategies employed by venture capital firms
  • Assessing the impact of private equity investments on the financial performance of SMEs
  • Analysing the role of venture capital in fostering innovation and entrepreneurship
  • Evaluating the exit strategies of private equity firms: A comparative analysis
  • Exploring the ethical considerations in private equity and venture capital financing
  • Investigating how private equity ownership influences operational efficiency and overall business performance
  • Evaluating the effectiveness of corporate governance structures in companies backed by private equity investments
  • Examining how the regulatory environment in different regions affects the operations, investments and performance of private equity and venture capital firms

Research Topic Kickstarter - Need Help Finding A Research Topic?

Asset Management

This list includes a range of research topic ideas focused on asset management, probing into the effectiveness of various strategies, the integration of technology, and the alignment with ethical principles among other key dimensions.

  • Analysing the effectiveness of different asset allocation strategies in diverse economic environments
  • Analysing the methodologies and effectiveness of performance attribution in asset management firms
  • Assessing the impact of environmental, social, and governance (ESG) criteria on fund performance
  • Examining the role of robo-advisors in modern asset management
  • Evaluating how advancements in technology are reshaping portfolio management strategies within asset management firms
  • Evaluating the performance persistence of mutual funds and hedge funds
  • Investigating the long-term performance of portfolios managed with ethical or socially responsible investing principles
  • Investigating the behavioural biases in individual and institutional investment decisions
  • Examining the asset allocation strategies employed by pension funds and their impact on long-term fund performance
  • Assessing the operational efficiency of asset management firms and its correlation with fund performance

Hedge Funds

Here we explore research topics related to hedge fund operations and strategies, including their implications on corporate governance, financial market stability, and regulatory compliance among other critical facets.

  • Assessing the impact of hedge fund activism on corporate governance and financial performance
  • Analysing the effectiveness and implications of market-neutral strategies employed by hedge funds
  • Investigating how different fee structures impact the performance and investor attraction to hedge funds
  • Evaluating the contribution of hedge funds to financial market liquidity and the implications for market stability
  • Analysing the risk-return profile of hedge fund strategies during financial crises
  • Evaluating the influence of regulatory changes on hedge fund operations and performance
  • Examining the level of transparency and disclosure practices in the hedge fund industry and its impact on investor trust and regulatory compliance
  • Assessing the contribution of hedge funds to systemic risk in financial markets, and the effectiveness of regulatory measures in mitigating such risks
  • Examining the role of hedge funds in financial market stability
  • Investigating the determinants of hedge fund success: A comparative analysis

Financial Planning and Advisory

This list explores various research topic ideas related to financial planning, focusing on the effects of financial literacy, the adoption of digital tools, taxation policies, and the role of financial advisors.

  • Evaluating the impact of financial literacy on individual financial planning effectiveness
  • Analysing how different taxation policies influence financial planning strategies among individuals and businesses
  • Evaluating the effectiveness and user adoption of digital tools in modern financial planning practices
  • Investigating the adequacy of long-term financial planning strategies in ensuring retirement security
  • Assessing the role of financial education in shaping financial planning behaviour among different demographic groups
  • Examining the impact of psychological biases on financial planning and decision-making, and strategies to mitigate these biases
  • Assessing the behavioural factors influencing financial planning decisions
  • Examining the role of financial advisors in managing retirement savings
  • A comparative analysis of traditional versus robo-advisory in financial planning
  • Investigating the ethics of financial advisory practices

Free Webinar: How To Find A Dissertation Research Topic

The following list delves into research topics within the insurance sector, touching on the technological transformations, regulatory shifts, and evolving consumer behaviours among other pivotal aspects.

  • Analysing the impact of technology adoption on insurance pricing and risk management
  • Analysing the influence of Insurtech innovations on the competitive dynamics and consumer choices in insurance markets
  • Investigating the factors affecting consumer behaviour in insurance product selection and the role of digital channels in influencing decisions
  • Assessing the effect of regulatory changes on insurance product offerings
  • Examining the determinants of insurance penetration in emerging markets
  • Evaluating the operational efficiency of claims management processes in insurance companies and its impact on customer satisfaction
  • Examining the evolution and effectiveness of risk assessment models used in insurance underwriting and their impact on pricing and coverage
  • Evaluating the role of insurance in financial stability and economic development
  • Investigating the impact of climate change on insurance models and products
  • Exploring the challenges and opportunities in underwriting cyber insurance in the face of evolving cyber threats and regulations

Quantitative Finance

These topic ideas span the development of asset pricing models, evaluation of machine learning algorithms, and the exploration of ethical implications among other pivotal areas.

  • Developing and testing new quantitative models for asset pricing
  • Analysing the effectiveness and limitations of machine learning algorithms in predicting financial market movements
  • Assessing the effectiveness of various risk management techniques in quantitative finance
  • Evaluating the advancements in portfolio optimisation techniques and their impact on risk-adjusted returns
  • Evaluating the impact of high-frequency trading on market efficiency and stability
  • Investigating the influence of algorithmic trading strategies on market efficiency and liquidity
  • Examining the risk parity approach in asset allocation and its effectiveness in different market conditions
  • Examining the application of machine learning and artificial intelligence in quantitative financial analysis
  • Investigating the ethical implications of quantitative financial innovations
  • Assessing the profitability and market impact of statistical arbitrage strategies considering different market microstructures

Treasury Management

The following topic ideas explore treasury management, focusing on modernisation through technological advancements, the impact on firm liquidity, and the intertwined relationship with corporate governance among other crucial areas.

  • Analysing the impact of treasury management practices on firm liquidity and profitability
  • Analysing the role of automation in enhancing operational efficiency and strategic decision-making in treasury management
  • Evaluating the effectiveness of various cash management strategies in multinational corporations
  • Investigating the potential of blockchain technology in streamlining treasury operations and enhancing transparency
  • Examining the role of treasury management in mitigating financial risks
  • Evaluating the accuracy and effectiveness of various cash flow forecasting techniques employed in treasury management
  • Assessing the impact of technological advancements on treasury management operations
  • Examining the effectiveness of different foreign exchange risk management strategies employed by treasury managers in multinational corporations
  • Assessing the impact of regulatory compliance requirements on the operational and strategic aspects of treasury management
  • Investigating the relationship between treasury management and corporate governance

Financial Technology (FinTech)

The following research topic ideas explore the transformative potential of blockchain, the rise of open banking, and the burgeoning landscape of peer-to-peer lending among other focal areas.

  • Evaluating the impact of blockchain technology on financial services
  • Investigating the implications of open banking on consumer data privacy and financial services competition
  • Assessing the role of FinTech in financial inclusion in emerging markets
  • Analysing the role of peer-to-peer lending platforms in promoting financial inclusion and their impact on traditional banking systems
  • Examining the cybersecurity challenges faced by FinTech firms and the regulatory measures to ensure data protection and financial stability
  • Examining the regulatory challenges and opportunities in the FinTech ecosystem
  • Assessing the impact of artificial intelligence on the delivery of financial services, customer experience, and operational efficiency within FinTech firms
  • Analysing the adoption and impact of cryptocurrencies on traditional financial systems
  • Investigating the determinants of success for FinTech startups

Research topic evaluator

Commercial Banking

These topic ideas span commercial banking, encompassing digital transformation, support for small and medium-sized enterprises (SMEs), and the evolving regulatory and competitive landscape among other key themes.

  • Assessing the impact of digital transformation on commercial banking services and competitiveness
  • Analysing the impact of digital transformation on customer experience and operational efficiency in commercial banking
  • Evaluating the role of commercial banks in supporting small and medium-sized enterprises (SMEs)
  • Investigating the effectiveness of credit risk management practices and their impact on bank profitability and financial stability
  • Examining the relationship between commercial banking practices and financial stability
  • Evaluating the implications of open banking frameworks on the competitive landscape and service innovation in commercial banking
  • Assessing how regulatory changes affect lending practices and risk appetite of commercial banks
  • Examining how commercial banks are adapting their strategies in response to competition from FinTech firms and changing consumer preferences
  • Analysing the impact of regulatory compliance on commercial banking operations
  • Investigating the determinants of customer satisfaction and loyalty in commercial banking

International Finance

The folowing research topic ideas are centred around international finance and global economic dynamics, delving into aspects like exchange rate fluctuations, international financial regulations, and the role of international financial institutions among other pivotal areas.

  • Analysing the determinants of exchange rate fluctuations and their impact on international trade
  • Analysing the influence of global trade agreements on international financial flows and foreign direct investments
  • Evaluating the effectiveness of international portfolio diversification strategies in mitigating risks and enhancing returns
  • Evaluating the role of international financial institutions in global financial stability
  • Investigating the role and implications of offshore financial centres on international financial stability and regulatory harmonisation
  • Examining the impact of global financial crises on emerging market economies
  • Examining the challenges and regulatory frameworks associated with cross-border banking operations
  • Assessing the effectiveness of international financial regulations
  • Investigating the challenges and opportunities of cross-border mergers and acquisitions

Choosing A Research Topic

These finance-related research topic ideas are starting points to guide your thinking. They are intentionally very broad and open-ended. By engaging with the currently literature in your field of interest, you’ll be able to narrow down your focus to a specific research gap .

When choosing a topic , you’ll need to take into account its originality, relevance, feasibility, and the resources you have at your disposal. Make sure to align your interest and expertise in the subject with your university program’s specific requirements. Always consult your academic advisor to ensure that your chosen topic not only meets the academic criteria but also provides a valuable contribution to the field. 

If you need a helping hand, feel free to check out our private coaching service here.

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Finance Theses and Dissertations

Theses/dissertations from 2023 2023.

Do Industries' Political Profiles Affect Their Portfolio Return Performance? , Shaddy S. Douidar

Do Firms Overreact to the Enactment of Corporate Laws: Evidence from Anti-Price Gouging Laws , Mario Marshall

Theses/Dissertations from 2021 2021

Essays on CEO Personal Characteristics and Corporate Outcomes: Athlete CEOs and Foreign CEOs , Kirill Pervun

Theses/Dissertations from 2020 2020

Predictors of Economic Outlook in Stability Operations , Juan Carlos Garcia

The Warren Buffett Project: A Qualitative Study on Warren Buffett , Christian G. Koch

Theses/Dissertations from 2019 2019

Closing America’s Retirement Savings Gap: Nudging Small Business Owners to Adopt Workplace Retirement Plans , Peter W. Kirtland

Theses/Dissertations from 2018 2018

Growth Options and Corporate Goodness , Linh Thompson

Theses/Dissertations from 2017 2017

Essays on the Tax Policy and Insider Trading , Han Shi

Theses/Dissertations from 2016 2016

Two Essays on Lottery-type Stocks , Yun Meng

Theses/Dissertations from 2015 2015

Two Essays on IPOs and Asset Prices , Gaole Chen

Essays on the impact of CEO gender on corporate policies and outcomes , Nilesh Sah

Theses/Dissertations from 2014 2014

Essays on Corporate Finance , Hari Prasad Adhikari

Two Essays on Individuals, Information, and Asset Prices , Joseph Mohr

Two Essays on Investment , Bin Wang

Two Essays on Corporate Finance , Qiancheng Zheng

Theses/Dissertations from 2013 2013

Two Essays on Mergers and Acquisitions , Dongnyoung Kim

Two Essays on Politics and Finance , Incheol Kim

Two Essays on Stock Repurchases-The Post Repurchase Announcement Drift: An Anomaly in Disguise? and Intra Industry Effects of IPOs on Stock Repurchase Decisions , Thanh Thiet Nguyen

Two Essays on Investor Distraction , Erdem Ucar

Two Essays on Politics in Corporate Finance , Xiaojing Yuan

Theses/Dissertations from 2012 2012

On The Efficiency of US Equity Markets , Mikael Carl Erik Bergbrant

Two Essays on the Sell-side Financial Analysts , Xi Liu

Two essays on Corporate Restructuring , Dung Anh Pham

Two Essays on Corporate Governance , Yuwei Wang

Theses/Dissertations from 2011 2011

Capital Structure, Credit Ratings, and Sarbanes-Oxley , Kelly E. Carter

Institutional Investors and Corporate Financial Policies , Ricky William Scott

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Dissertation Topic in Finance

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  • Jan 11, 2024

Dissertation Topics in Finance- MBA, Banking, Accounting Projects-04 (1)

Also known as the study of investments, Finance is a combination of two interrelated subjects – how money is handled and the process of obtaining money. One of the reasons why postgraduate students struggle with their Finance dissertation topics is that they do not spend enough time planning it. It is important for students to be extremely careful while writing a finance dissertation as it contributes a lot to their respective degrees. This blog provides you with the best topics, a dissertation structure, and more. 

This Blog Includes:

What is a finance dissertation, why finance dissertation topics are important, tips to find excellent dissertation topics on finance, writing tips for finance dissertation, how to plan your work on a finance dissertation, how to structure a finance dissertation, finance dissertation general topics , topics related to india, mba dissertation topics, banking dissertation topics , accounting dissertation topics, research project example, final consideration and conclusion.

Finance dissertations, as the name implies, are pieces of writing that study a certain finance topic chosen by the student. The subjects covered include anything from the stock market to banking and risk management to healthcare finance. This dissertation gives the student academic self-assurance and personal happiness in the subject of finance. Finance writing necessitates substantial research in order to produce a compelling report.

The majority of students have no idea why finance dissertation themes are so crucial. However, put yourself in the shoes of your lecturer. You’ve already read hundreds of theses. The majority of them covered the same ground — issues that you’re already tired of hearing about. Then there’s a topic with a distinct, intriguing theme. Something that piques your interest and entices you to read more. Wouldn’t you give those pupils some extra credit? You’d do it! This is why there are so many fantastic finance dissertation topics. You can get extra points for your efforts. The topic of your paper might mean the difference between a good and a terrific grade.

It’s difficult to come up with anything unique and interesting. There are, nevertheless, ways to come up with interesting ideas. Here are a few pointers on how to locate them:

  • Read a fantastic finance dissertation and find for areas where further study is needed.
  • Go to the library and read a couple theses to get some ideas.
  • Inquire with a writing agency about some ideas from one of their professional dissertation writers.
  • In writing forums and blogs, ask for assistance. If you ask gently, people will give you some excellent suggestions.
  • Look for ideas on the internet, but don’t use them exactly as they are. Make them distinctive by changing them.
  • Talk to other students who are working on their dissertations and find out what other ideas they had before settling on the present topic.
  • Narrow down your topic : Your financial topic should be narrowed down to a certain niche. It should concentrate on a single area, such as microfinance, microfinance, or online banking.
  • Verify your facts: Finance is a topic that requires a great deal of logical analysis of statistical data. As a result, double-check facts and statistics using credible sources before using them in your paper.
  • Write concisely: You should condense a financial paper into a tight, succinct work, unlike other papers with extended narrative narratives. At this length, the adage of ‘short is sweet’ theoretically applies.
  • Arrange your data neatly: A report that is crammed with numbers and graphs may turn off a reader at first glance. Know how and when to utilise your data for a great financial thesis.
  • Write simply: Avoid using jargon that might be confusing to a non-technical reader. When technical terminology are required, utilise accessible examples to convey them. In a finance dissertation, simplicity is king. So make good use of it.

Dissertation submission is very important to obtain a PG Degree. You are supposed to submit the work by the end of your study course, so by the last year of your degree, you may have got enough ideas and problems dealing with finance. While starting with a finance dissertation topic you should always remember that the purpose of a Finance Dissertation is to demonstrate your research ability, how you analyze specific data and come up with a conclusion. Mentioned below is a step to step guide for you to start working with:

Step 1 : Choose a relevant and interesting topic for your research

Step 2 : Discuss and receive feedback from your supervisor

Step 3 : Finalise the research methods to prove the significance of the selected topic

Step 4 : Gather the required data from relevant sources

Step 5 : Conduct the research and analyse the acquired results

Step 6 : Work on the outline of your dissertation

Step 7 : Make a draft and proofread it. Discuss with your advisors if any changes are to be made

Step 8 : Make the required corrections. 

Step 9 : Draft the final dissertation

Also Read: Check out the Top Course in Finance

There are so many different ways you can structure your dissertation. But the most common and universally accepted way is as follows:

  • Introduction
  • Literature review
  • Methodology
  • Analysis of the data and Significance/Implications of the acquired results

Also Read: Executive MBA in Finance

Finance Dissertation Topics

Finance is an extensive field, you can explore a lot of areas related to finance to choose a dissertation topic. Here we’ve mentioned the best finance dissertation topics to make it easier for you:

Mentioned below are some of the topics related to the recent issues in the world:

  • The negative impact of microfinance in developing countries.
  • The effects of population growth on economic growth in China
  • Cryptocurrency: Are we ready to digitalise the monetary world?
  • Analyzing the financial statements of VISA and MasterCard
  • Why do banks oppose digital currency?
  • Risks and benefits associated with digital money transferring technology

Also Read: Top MBA course to pursue

  • Investing in India’s technology sector – obstacles and opportunities
  • Foreign investment and its effects on economic growth in India
  • The effect of corporation investments in the economic development of the community
  • Comparing financial development in Asia and Europe
  • Did the banks help Small Medium Enterprises to grow in India in the last 5 years?
  • The Indian Economic Crisis of 1991

Best MBA Dissertation Topics

Be careful while choosing an MBA Dissertation Topic as it involves more intense study. Make sure the topic you’ve chosen remains within your field of study. We’ve listed some of the best topics you can choose for an MBA Dissertation:

  • Management skills an entrepreneur need
  • The place of communication for effective management in the workplace
  • How technology took over management
  • The impact of good leadership in an organization
  • How does a strong social media presence affect a company’s marketing strategies?
  • Human resource management in non-profit organizations
  • The importance of employee motivation programs on productivity
  • Management’s socio-cultural background and how it influences leadership relationships
  • How do employment benefits impact employee and company’s productivity?
  • Business team performance in multinational corporations

Best Finance Universities in the USA

  • Study on Future Options in Markets in India
  • Gold as an Investable Commodity in India
  • Study on Impact Of Corruption On FDI Inflows In India
  • The Impact Of The Money Supply On Economic Growth In India
  • Capital Structure Of The Business Enterprises In Delhi NCR
  • GST And Its Effect on MNC Manufacturing Companies
  • Analysis of the Insurance Industry in India
  • Analysis of HDFC Bank Finance
  • Comparative analysis of HDFC Bank with ICICI bank
  • Comparison of Market Share in Public Sector Banks VS Private Sector Banks
  • The impact of online banking on the world.
  • Risk factors and security issues that are inherent in online banking.
  • Fraud and identity theft is accomplished via internet banking.
  • Advantages and disadvantages of internet banking for consumers.
  • Risk management in investment banking
  • The rise of growing banking sectors in developing nations.
  • Issues surrounding banking in China’s growing economy.
  • The impact of the Federal Reserve on the United States and global economy
  • Banking and asset-liability in management.
  • The strategies to use online banking technology to attract customers.

All you need to know about  a Banking Course 

  • Case study of the impact of industry and public knowledge on the market share index’s fluctuation
  • Significance of auditing for large corporations
  • Examining India’s country’s tax scheme
  • What to consider when investing in financial markets?
  • From an accounting perspective, risk-taking in companies and its effects
  • Evaluate the differences and similarities between external and internal auditors
  • Can taxation be considered a human rights policy? Analyse the problem
  • What are the consequences of India’s current tax structure on individuals with a lower income?

Accounting courses

We’ve included a Finance Dissertation Research Example with reference to a Finance Dissertation Structure:

  • The Indian Economic Crisis of 1991 – The title of your Finance Dissertation must focus on your research objective.
  • Abstract  – The 1991 Indian economic crisis was…………….. imports and other external factors. The abstract part must include a summary of the research problem or objective of the research, the research design and a summary of the results.
  • Introduction – The introduction must reflect your research on the Indian Economic Crisis of 1991 in a way that the audience already gets to know what the research is going to include. 

           3.1 Background (background of the study) 

           3.2 Problem Statement (significance of the problem in context)

           3.3 Purpose/Research Questions (What caused the Crisis, how was the crisis revived etc.)

  • Review of Literature – The Review of Literature Section must include a theoretical rationale of the problem, the importance of the study, and the significance of the results.
  • Methodology – The Methodology Section must include the description of the subjects, research methods used in the data collection and any limitations issues involved.
  • Significance/Implications (Results of the Discussion)

*Please note that the above-mentioned structure is only for your reference to get an idea of writing a Finance Dissertation.

Choosing the right topic for your Finance dissertation to plan the work, all the above-mentioned aspects must be given equal importance. This blog has included the best dissertation topic in finance in MBA, accounting, and banking you can choose while writing a dissertation.

Finance research papers and dissertations should be prepared in a way that answers the core question while also being relevant to the remainder of the study. For example, if the dissertation’s major question is “what is the link between foreign exchange rates and the interest rates of a specific country,” the dissertation should provide suitable illustrations to help illustrate the topic. It should also go through the major and minor concerns that are relevant to this topic. Furthermore, utilise proper language to ensure that the article is readily understood by readers. The overall purpose of the project is to produce a well-written, well-researched, and well-supported dissertation.

It takes around 2 years to complete an MBA in India while 1 year to complete a full-time MBA in other countries.

A finance dissertation must be 100-300 pages long.

It takes around 5 years to obtain a Doctorate in Finance.

Hopefully, this blog assisted you in finding out your finance dissertation topics and structure for your course. If you require any assistance regarding your application process while enrolling for your further studies, our experts at Leverage Edu are just one click away. Call us anytime at 1800 572 000 for a free counselling session!

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Master of Science in Finance and Banking

Thesis titles.

MSc in Finance and Banking Theses Titles, by Academic Year

Anna Cursi, IPO and Covid-19 Pandemic: The Influence on the Underpricing Phenomenon in the Italian Market, Advisor: Prof. Vincenzo Farina

Nicolas De Matteo , The Impact of AI on Firms: An Event Study on Abnormal Returns Following AI Investment Announcements, Advisor: Prof. Vincenzo Farina

Jacopo Failoni , A New Benchmark Interest Rate: From LIBOR to SOFR, Advisor: Prof. Stefano Herzel

Sadaf Khaghani , Analysis of Sharpe Ratio via Residual-Based Nodewise Regression Approach, Advisor: Prof. Tommaso Proietti

Niyamaddin Mammadov , Cognitive Biases in Mbs Risk Perception: Insights From the 2008 Crisis Through the Lens of Behavioral Finance, Advisor: Prof. Stefano Herzel

Valeria Palombi , Realized Volatility Modeling with Time-Varying Dependencies, Advisor: Prof. Alessandro Casini

Leonardo Pavone , Empirical Analysis of M&A Transactions: Evidence from the European Market, Advisor: Prof. Ugo Pomante

Vincenzo Perrone , Endogenous Sampling in Financial Econometrics, Advisor: Prof. Davide Pirino

Carlo Emanuele Autiero, Robust Portfolio Optimisation Under Sparse Contamination, Advisor: Prof. Alessio Farcomeni

Vladyslava Bab'yak, Caviar and Cross-Sectional Quantile Regression Models to Assess Risk in SEP500 Sectors, Advisor: Prof. Tommaso Proietti

Francesco Bianchi, An Analysis of Small Businesses Loan Dynamics Using Inverse Probability Weighting, Advisor: Prof. Alesso Farcomeni

Chiara Cammeo, Arms Trade Network Analysis on R, Advisor: Prof. Alessio Farcomeni

Karin Carlsson, Covered Call on An Index - A Comparative Study of Two Strategies, Advisor: Prof. Shmuel Baruch

Laura Colozzi , The Put-Call Parity Mispricing: An Event Study, Advisor: Prof. Shmuel Baruch

Matteo Cosentino , Retail Investors Against Wall Street: The Role of Reddit in the Gamesstop Short Squeeze, Advisor: Prof. Alessio Farcomeni

Maddalena De Vivo, Factor Mimicking Portfolio and ESG Factor, Advisor: Prof. Alessandro Ramponi

Leonardo Di Filippo, Rough Heston Model: Montecarlo Simulation of the Volatility Surface Dynamics, Advisor: Prof. Alessandro Ramponi

Bruno Di Jeso, Fractional Shares and the Split Minimum, Advisor: Prof. Shmuel Baruch

Sabina Di Maro, Network Analysis and Vulnerability Indexes in Socially Responsible Investments, Advisor: Prof. Rocco Ciciretti

Claudia Esposito, Experimental Analysis of Emotional Engagement in Thematic Fund Advertisements: A Neuroeconomic Perspective, Advisor: Prof. Ugo Pomante

Lucia Formisano , What Role Has the Festival Sector in the Global Economy, What Meaning Has in Our Personal Lives an In-depth Analysis: Elrow and Cinema Festival, Advisor: Prof. Maura Mezzetti

Federica Fubelli , Financial Attitudes of Italian Households and Their Determinants, Advisor: Prof. Maura Mezzetti

Simone Genna , Climate-related Risk and Ngfs Scenarios: A Financial Perspective on CO2 Emissions Correlations, Advisor: Prof. Maura Mezzetti

Leonid Grebinka, The Role and Performance of Accelerators in the Munich Startup Ecosystem, Advisor: Prof. Vincenzo Farina

Simone Grugni, Using Asset Prices to Predict Bank Defaults: A Quantitative Approach, Advisor: Prof. Shmuel Baruch

Ludvig HillenFjärd, Enhancing Forex Trading Strategies: An Investigation into the Integration of Technical Analysis and Portfolio Management, Advisor: Prof. Ugo Pomante

Riccardo Mancini , An In-Depth Analysis of One-Factor Affine Term Structure Models: Cross-Sectional and Time Series Calibration of Vasicek and CIR Models, Advisor: Prof.Stefano Herzel

Angelo Mangieri , Sovereign Bond Yields: Climate Risk Impact, Advisor: Prof. Rocco Ciciretti

Fabio Marchese , The Impact of the Covid-19 Vaccine Announcement on Pfizer's Stock Price: A Single Firm Single Event Study, Advisor: Prof. Shmuel Baruch

Lorenzo Marcolini, Investment Strategies for Young Adults: Building a Dynamic Asset Allocation Model Using Genetic Algorithms, Advisor: Prof. Ugo Pomante

Mattia Marletta, Merton's Portfolio Problem: Does Portfolio Rebalancing Really Affect Investor's Utility?, Advisor: Prof. Shmuel Baruch

Noemi Pandolfi , The Relationship Between Spot and Futures Prices of the EU Ets Market Focusing On Volatility Spillover and Dynamic Correlation, Advisor: Prof. Gianni Nicolini

Andrea Pasquali , Exploring the Relationship Between ESG Disagreement and Stock Returns. An Empirical Analysis, Advisor: Prof. Rocco Ciciretti

Anastasiia Polynskaia , ESG Scores and Acquisition Premia, Advisor: Prof. Shmuel Baruch

Giulia Proietti , Thematic Investments: Challenges and Perspectives for Asset Management, Advisor: Prof. Ugo Pomante

Tommaso Roncacci , From the London Interbank Offered Rate to Risk-Free Rates: An Overview of LIBOR Success, Scandals, and Replacement Inside the Derivatives and Loan Markets, Advisor: Prof. Stefano Herzel

Alessandra Rusu , Financial Drawdown and CO2 Emissions in Sustainable Investments, Advisor: Prof. Rocco Ciciretti

Alina Mihaela Sandu , Econometric Investigation of Volatility Clustering and Asymmetry Effects on the Italian Stock Market, Advisor: Prof. Shmuel Baruch

Lucia Sansone, An Empirical Study of the Weekend Effect in Stock Markets, Advisor: Prof. Lucia Sansone

Sara Scollo, Gender Inequality in the Italian Academia, Advisor: Prof. Maura Mezzetti

Allesandra Tallarico , The Effect of Uncertainty on Firms Investments in Green Technology, Advisor: Prof.Katia Colaneri

Chiara Tenerini , Optimal Portfolio Design for European Regulatory Compliance: Exploring Genetic Algorithms Techniques, Advisor: Prof. Ugo Pomante

Francesco Torlai , Legislative Impacts and Quantitative Insights: Investigating EU ESG Benchmarks for Sustainable Investing, Advisor: Prof. Maura Mezzetti

Cristiano Vasallucci, An Empirical Analyses of the Nordic Banking Sector, Advisor: Prof. Stefano Caiazza

Khaled Youssef , An Empirical Analysis of the Put/Call Ratio Sentiment Indicator, Advisor: Prof. Shmuel Baruch

Valerio Zarrelli , Modelling Rough Volatility: The Rough Heston Model, Advisor: Prof. Alessandro Ramponi

Mehran Akbari, Performance assessment of dimension reduction techniques in market prediction in cross section of present values, Advisor: Prof. Gianluca Cubadda

Massimo Ziad Ammar , A Look into Variance Ratio: Are All Markets Becoming More Efficient with Time?, Advisor: Prof. Tommaso Proietti

Emanuel Andrei, Swap spread arbitrage strategy: a new approach using the Secured Overnight Financing Rate, Advisor: Stefano Herzel

Roberto Bauer , Machine Learning applied to dynamic Hedging strategies: a comparison between ANNs and linear regression models., Advisor: Prof. Alessandro Ramponi

Andrea Caputo, The Socially Responsible Funds, Advisor: Rocco Ciciretti

Stefano Caputo , Bitcoin Trading Strategy on Twitter Sentiment Analysis, Advisor: Prof. Vincenzo Farina

Andrei Carp , Machine Learning applications to predict stock prices based on technical indicators, Advisor: Prof. Alessandro Ramponi

Lorenzo Cianciullo, Investing in corporate socially responsible activities: a robust analysis of deletion event effects, Advisor: Rocco Ciciretti

Maria Ciobanu ,   Behaviour of Healthcare Index: A GARCH forecasting approach to predict volatility, Advisor: Prof. Tommaso Proietti

Domenico Roberto Curciarello, Does Bitcoin hedge inflation risk? A multivariate time series analysis, Advisor: Prof. Tommaso Proietti

Valerio D'Agostini , The Hard Landing of the Chinese Shadow Banking: how China’s printing machine and financial system practices may overwhelm its and other countries’ economy., Advisor: Prof. Ugo Pomante

Michele Dimartino , Legal and Ethical characteristics of Sukuk   to be a Sharia Compliant Financial Instrument, Advisor: Prof. Amalia Diurni

Diana  Andrea Dudas , Are Cat Bonds better than Reinsurance? A numerical study., Advisor: Prof. Katia Colaneri

Thiago Ely Tatsch, Does Alternative Data Improve Financial Forecasting? A series of cases, Advisor: Prof. Vincenzo Farina

Luciana Fauceglia, Portfolio selection with ESG score: a new "optimization" approach to include investors' ESG preferences, Advisor: Prof. Ugo Pomante

Fakhteh Ghalami, Mean-Variance efficient portfolio and skewed assets performance comparison, Advisor: Prof. Shmuel Baruch

Mihael Huzun , Portfolio Performance Analysis: Combining Cryptocurrencies with Traditional Assets, Advisor: Prof. Ugo Pomante

Fatemeh Khazaei ,  The Effect of Knowledge and Experience of Board of Companies on Mergers and Acquisitions , Advisor: Prof. Rocco Ciciretti

Eduard Andrei Kiss, Forecasting Exchange Rates: An Empirical Analysis, Advisor: Prof. Marianna Brunetti

Domenico Leone , Central bank, monetary policy and interest rates, Advisor: Prof. Stefano Herzel

Francesco Milani , The Integration of ESG Factors into the Investment Process: an application in the Portfolio Construction Model, Advisor: Prof. Ugo Pomante

Mirabela Cristina Niscoveanu, Can ESG investing do well while doing good? An analysis of the ESG European funds from 2000 to nowadays, Advisor: Prof. Rocco Ciciretti

Marco Piazza, Can the performance measurement influence mutual funds' valuation?, Advisor: Prof. Ugo Pomante

Davide Radicioni, The Black-Litterman Model: Rigorous Review, Implementation and Application to the Market, Advisor: Prof. Shmuel Baruch

Sebastian Richter , Neural Network assisted Option Pricing under Rough Volatility:   An Empirical Validation., Advisor: Prof. Alessandro Ramponi

Paiman Sobati, GANs and their application in option pricing, Advisor: Prof. Alessandro Ramponi

Gianluca Varrenti, Correlation between assets during market down phases: analysis on the Dow Jones Index, Advisor: Prof. Shmuel Baruch

Assel Altynbek , European Cooperative Banking Group, Advisor: Prof. Stefano Caiazza

Riccardo Angeli , The Covid-19 Effect on Oil Spot and Futures Market and Potential Hedging Strategies, Advisor: Prof. Gianni Nicolini

Nils Anton Ludvig Anner , Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms, Advisor: Prof. Alessandro Ramponi

Masumeh Babaei , Empirical Analysis of the Cryptocurrencies and Bitcoin Price Dynamics, Advisor: Prof. Vincenzo Farina

Riccardo Bruno , Electricity Price Forecasting with Unobserved Components Models, Advisor: Prof. Tommaso Proietti

Giorgia Carena , Stochastic models for simultaneous trading in the lit market and a dark pool: a numerical study, Advisor: Prof. Katia Colaneri

Asia Ciaramella , Hedge Funds and Mutual Funds Performance: A Comparison Analysis, Advisor: Prof. Rocco Ciciretti

Gaetano Cipriani , Volatility Estimation in Presence of Microstructure Noise, Advisor: Prof. Davide Pirino

Lavinia Del Treste , The announcement effect of green bond issuers on their listed share price, Advisor: Prof. Rocco Ciciretti

Paola Di Stasi , Black Litteman Model and Risk Budgeting, Advisor: Prof. Ugo Pomante

Valentina Federici , Different Trends in SRI: The Case of Europe and Usa, Advisor: Prof. Rocco Ciciretti

Michela Fiore , Reinforcement Learning for Automatic Option Hedging, Advisor: Prof. Stefano Herzel

Gianluca Franceschini , The Effectiveness of Weather Derivatives as Risk Mitigating Tool in Wine Industry, Advisor: Prof. Gianni Nicolini

Emanuele Gatta , ESG Portfolios Premia: A Comparison Between Risks and Characteristics, Advisor: Prof. Rocco Ciciretti

Omar Gaye , ESG Factors and Performance in Portfolio Construction: Energy and Power Utility Sector, Advisor: Prof. Ugo Pomante

Saeid Hosseinzadehfarahami, On Rough Fractional Stochastic Volatility andthe Turbocharging Monte Carlo simulation for rBergomi model, Advisor: Prof. Alessandro Ramponi 

Alessandra Iacobone , A Comparison Between Italian Health System and American Health System, Advisor: Prof. Maura Mezzetti

Mina Ibrahim Tawfik Ibrahim , CFD Trading in Financial Markets, Advisor: Prof. Gianni Nicolini

Alessio Incelli , An Advanced Application of Black-Litterman Model: The EBL Approach, Advisor: Prof. Ugo Pomante

Antonio Litterio , Detection of Structural Breaks in HAR Model, Advisor: Prof. Gianluca Cubadda

Daniele Maggio , Corporate Reputation: a Systematic ESG Risk Approach, Advisor: Prof. Rocco Ciciretti

Zaur Mammadov, Implied Volatility Surface: Difference Between Heston Model and SVI Parametrization, Advisor: Prof. Alessandro Ramponi

Daniele Martinelli , Reinforcement Learning for Trading Applications: The Q-Learning Algorithm, Advisor: Prof. Stefano Grassi

Laura Morrocchi , Risk-Return Optimization and ESG Opportunities in the Current Financial Market: an Empirical Study on Model Portfolios, Advisor: Prof. Ugo Pomante

Francesca Romana Multari , Quantile Dependence and Directional Predictability in Economic and Financial Time Series, Advisor: Prof. Tommaso Proietti

Tiara Fatin Binti Nasip , A Comparison of Methods for Sentiment Analysis of Private Companies: The Case of Recent Tweets about Tesla Inc., Advisor: Prof. Alessio Farcomeni

Alberto Noe’ , The Determinants of Italian Households Financial Planning, Advisor: Prof. Rocco Ciciretti

Saeedeh Ostovari , Investigating the Statistical Properties of the Hurst Exponent Estimator of Rough Volatility Model, Advisor: Prof. Tommaso Proietti

Dario Piperni , Green Minus Black: The Risk-adjusted Performance of SRI, Advisor: Prof. Vincenzo Farina

Meruyert Ramazanova, A review of volatility estimators for financial assets, Advisor: Prof. Davide Pirino

Matteo Ronci , Volatility Analysis of Bitcoin and Ethereum Before and After the Introduction of Futures, Advisor: Prof. Gianni Nicolini

Roberto Rosina , The Determinants of Financial Derivatives Use: an Empirical Analysis From European Banking Industry, Advisor: Prof. Gianni Nicolini

Edoardo Sabetta , Doing Well While Doing Good? A Performance Comparison Analysis of European Mutual Funds in Pandemic Times, Advisor: Prof. Vincenzo Farina

Flaminia Sarrantonio , Power market fundamental approach to study the dynamics of the electricity sector in Latin America, Advisor: Prof. Rocco Ciciretti

Roberta Maria Segatore , Estimation of a Structural Model for Stale Prices, Advisor: Prof. Davide Pirino

Noemi Viggiano , Does it matter to be green? The Effect of Green Investment on Corporate Behavior, Advisor: Prof. Stefano Herzel

Mario Viola , Tactical Asset Allocation : A Machine Learning Approach, Advisor: Prof. Ugo Pomante

Aizhan Yermekova , Determinants of M&A premium: evidence from quantile regression analysis, Advisor: Prof. Alessio Farcomeni

Faranak Alikhah , Time Reversibility of Financial Time Series, Advisor: Prof. Tommaso Proietti

Francesco Apa Eduardo , Integration between ethical activity and economic dynamics: the banking sector, Advisor: Prof. Amalia Diurni

Francesco Berretti , The Determinants of Italian Household Financial Planning, Advisor: Prof. Rocco Ciciretti

Andrea Bonelli , Forecasting Realized Volatility: Long vs Short Memory Processes, Advisor: Prof. Gianluca Cubadda

Ana Botorce , Corporate Social Responsibility in Canadian Firms, Advisor: Prof. Rocco Ciciretti

Marco Bruno , The determinants of the Reverse Takeovers: the case of Europe, Advisor: Prof. Vincenzo Farina

Andrea Bulla , Venture capital investments in cyber-security startups: a social network approach, Advisor: Prof. Vincenzo Farina

Veronica Cannas , What happens to options when the underlying returns are predictable?, Advisor: Prof. Stefano Herzel

Giulia Carbotti , A regime-switching cointegration approach to pairs trading, Advisor: Prof. Gianluca Cubadda

Andrea Carcani , Scenario analysis for the energy sector’s transition risk in the context of climate change, Advisor: Matteo Bissiri

Paolo Cianci , ESG rating and financial performance during the SARS-CoV-2, Advisor: Prof. Rocco Ciciretti

Antonio Colasanto , Monte-Carlo assessment of excess staleness estimators, Advisor: Prof. Davide Pirino

Gaia D'Angeli , DCC-NL: model validation for portfolio and risk management in a large dimensional setting, Advisor: Prof. Tommaso Proietti

Samy Zakria Moustafa El Hallag , Forecasting the Electricity Demand in the Italian Market through Supervised Learning Methods, Advisor: Prof. Gianluca Cubadda

Federico Fattinnanzi , Climate Change, Political Economy and Financial Distress, Advisor: Prof. Ugo Pomante

Eric Festuccia , Predictability of Expected Returns, Advisor: Prof. Stefano Herzel

Marco Fioravanti , Anticipating market volatility using google trends data, Advisor: Prof. Vincenzo Farina

Diego Oswaldo Floreano Dominguez , Style-based Value at Risk: an investigation of equity emerging market mutual funds, Advisor: Prof. Ugo Pomante

Emanuel Ignacio Gamboa Quintanilla , Pairs Trading Strategy Efficiency: Cointegration Analysis in Derivative Markets, Advisor: Prof. Gianni Nicolini

Yasaman Ghafarisomeh , Detecting Asymmetric Jumps and Semi-variation in Forecasting Realized Volatility, Advisor: Prof. Gianluca Cubadda

Fidan Huseynli , The Green Finance approach to financial performance, Advisor: Prof. Rocco Ciciretti

Edis Izejrosji , Measuring the connectedness between European stock indices with variance decomposition, Advisor: Prof. Tommaso Proietti

Lorenzo Lo Pinto , Multivariate Logit Models for Household Financial Hardship in Italy, Advisor: Prof. Maura Mezzetti

Marco Lorenzo , High-Dimensional Density Forecasting for Financial Time Series, Advisor: Prof. Tommaso Proietti

Veronica Lupi , Approximated MLE for diffusion models discretely sampled: Focus on Vasicek and CIR, Advisor: Prof. Davide Pirino

Irene Magni , Private Equity and Turnaround Funds: an Italian case study, Advisor: Prof. Vincenzo Farina

Francesco Marconi , A Model for Central Counterparty Risk with Stochastic Default Intensities, Advisor: Prof. Katia Colaneri

Simona Margareta Mare , Empirical Analysis of the Mortgage Market Granted to Italian Families, Advisor: Prof. Rocco Ciciretti

Gianluca Michienzi , ESG vs Blend Investments: Evidence from International Markets, Advisor: Prof. Ugo Pomante

Hamed Molaei Shebilouysofla , The influence of corporate governance and firm performance on CEO compensation: panel analysis from the Canadian corporate sector, Advisor: Prof. Rocco Ciciretti

Simone Mosconi , Artificial Neural Networks for Option Pricing: an application to the Heston model Calibration, Advisor: Prof. Alessandro Ramponi

Merfat Nofal , Modelling Credit Risk with Big Data, Advisor: Prof. Tommaso Proietti

Alessandro Olivieri , Merger and Acquisition operations in the global energy sector: assessing Efficient Market Hypothesis, Advisor: Prof. Rocco Ciciretti

Saverio Piacenti , Value Creation Effect: Spin Off vs. Equity Carve Out, Advisor: Prof. Vincenzo Farina

Leonardo Procoli , The impact of Coronavirus (COVID-19) on market volatility, Advisor: Prof. Vincenzo Farina

Alberto Rainieri , Collateralized Interest Rate Swaps, Advisor: Prof. Stefano Herzel

Mohammad Rashidi Ranjbar , Comparison of volatility models for Bitcoin, Advisor: Prof. Tommaso Proietti

Daniele Ruffa , The Private Equity funds performance, Advisor: Prof. Vincenzo Farina

Cesare Russo , Portfolio construction considering the impact of shocks on higher moments, Advisor: Prof. Stefano Grassi

Mahshid Teimouri Toulabi , Machine Learning Algorithms in Default Loans Prediction, Advisor: Prof. Tommaso Proietti

Oscar Gustav Anders Thelander , Currency Options: Analytical Tractability versus Empirical Misspecification, Advisor: Prof. Stefano Herzel

Riccardo Traglia , A dynamic approach to Black-Litterman: Implementing a M-GARCH derived covariance matrix , Advisor: Prof. Ugo Pomante

Duc Dieu Vinh Vu , Risk assessment with value at risk and expected shortfall during crises, Advisor: Prof. Tommaso Proietti

Chaotong Wang , The financial performance of professional manager succession in the family business-a case study in the Media group, Advisor: Prof. Luca Gnan

Calascibetta Francesco , Crypto Coin and Applycation of Financial Derivatives on the ICOs, Advisor: Prof. Gianni Nicolini

Capoano Lorenzo , Optimal Combination of realised volatility estimators: a forecasting approach, Advisor: Prof. Gianluca Cubadda

Carosi Annalisa , Modeling the evolution of market uncertainty. Hedge Fund returns and Volatility of Aggregate Volatility within a dynamic perspective, Advisor: Prof. Stefano Herzel

Cascioli Aurora , High Dimensional Covariance Matrices Estimation: a comparison between Orthogonal GARCH and Generalized Orthogonal GARCH, Advisor: Prof. Tommaso Proietti

Cesaretta Claudio , Private Equity and Portfolio Performance, Risk and Diversification, Advisor: Prof. Ugo Pomante

Chen Jinghui , The Effect of Horizon on Dynamic Asset Allocation without Parameter Uncertainty, Advisor: Prof. Stefano Herzel

Ciarletta Sara , Fintech: analysis of the relevance in the different activity’s areas of Italian Banks, Advisor: Prof. Vincenzo Farina 

Corio Michele , Forecasting stock index volatility using the daily range of price, Advisor: Prof. Tommaso Proietti

Delghandi Maral , Impact of Political Events on Stock Market Returns: Empirical Evidence from Tehran Stock Exchange, Advisor: Prof. Vincenzo Farina

Di Geronimo Leonardo , Optimal financial resources for Central Counterparties. Introducing default dependence of clearing members: a mixed binomial approach, Advisor: Prof. Stefano Herzel

Di Lelio Andrea , An Investable Cryptocurrency Index: the CRT30 Index, Advisor: Prof. Ugo Pomante

Di Matteo Alessandro , Modeling and forecasting the Italian yield curve with a dynamic Nelson-Siegel approach., Advisor: Prof. Alessandro Ramponi

Isernia Luigi , Weather risk management for utilities & energy: methodologies for estimating exposure and managing risk, Advisor: Prof. Gianni Nicolini

Krajenbrink Menno-Jan , Lockup Expiration Effects, Advisor: Prof. Vincenzo Farina

Li Zuho , Econometric Analysis of Skewness and Risk Premia in Asset Returns, Advisor: Prof. Tommaso Proietti

Molinaro Gianluca , A Financial Stress Index for Turkey, Advisor: Prof. Gianluca Cubadda

Monti Michela , Shrinkage estimation of the covariance matrix for portfolio optimization: an empirical assessment, Advisor: Prof. Gianluca Cubadda

Novikovs Rihards , Governance factors determining FDI inflows in emerging countries: cross-regional comparative study., Advisor: Prof. Vincenzo Farina

Sabbi Federica , The sentiment analysis: an application with the Black Litterman Model, Advisor: Prof. Ugo Pomante

Saponaro Onofrio , Cointegrated market neutral portfolios: identification and performance analysis, Advisor: Prof. Gianluca Cubadda

Sorbo Michele , Risk volatility measures: a comparison., Advisor: Prof. Tommaso Proietti

Sperati Alfredo Paolo , The impacts of ESG Performances on Cost of Equity and Cost of Debt, Advisor: Prof. Vincenzo Farina

Stursa Zbynek , Thresholding for high-dimensional covariance matrix estimation, Advisor: Prof. Tommaso Proietti

Turmunkh Khongor , The use of Derivatives by Mutual funds, Advisor: Prof. Gianni Nicolini

Wang Yuming , Refining the father to son model with the cases of Chinese family firms, Advisor: Prof. Luca Gnan

Yusifli Parvana , Female Employees’ Job Burnout in Foreign Capital Enterprise in China, Advisor: Prof. Alessandro Hinna

Yusifzada Parviz , Professionalization and Managerialization in Small and Medium Family Firms, Advisor: Prof. Luca Gnan

Zeccolella Gianlorenzo , The effect of Mergers and Acquisitions on Bidder Default Risk in the Banking Sector, Advisor: Prof. Stefano Caiazza

Bardeli Aurel , Attribution of ex-ante performance and risk to market sectors, Advisor: Prof. Ugo Pomante

Bilardi Andrea , Dimension Reduction Methods and Har: forecasting analysis, Advisor: Prof. Prof. Gianluca Cubadda

Borin Carlo , A comparison of wrong-way risk Credit Value Adjustment using different techniques: change of measure, 2D Monte Carlo, Gaussian Copula resampling approach and Basel III, Advisor: Prof. Alessandro Ramponi

Caprasecca Mirko , Can market reaction on announcement date affect M&A failure? Evidence from financial deals in the U.S. market, Advisor: Prof. Stefano Caiazza

Ciolli Andrea , Target Cumulative Abnormal Return to M&As in US Banking Sector from 2000-2018, Advisor: Prof. Stefano Caiazza

Diaferia Savino , Merger Arbitrage: Profitability and Risk-Return Characteristic in the Italian Market, Advisor: Prof. Vincenzo Farina

Filippi  Nicolò , The counterparty credit risk and its implication on profit and loss statement and regulatory capital, Advisor: Prof. Stefano Herzel

Forte Federica , Portfolio Optimization using Conditional Value at Risk: Application and Comparison with the Black-Litterman Model, Advisor: Prof. Ugo Pomante

Gurbanli Orkhan , The Impact of Training and Motivation on Organizational Performance, Advisor: Prof. Alessandro Hinna

Iovino Valeria , A zombie bank is in town! Empirical analysis about the health condition of the Eurozone banking system in the 20th century, Advisor: Prof. Stefano Caiazza

Orlova Victoria , Estimating probability of sovereign defaults, Advisor: Prof. Maura Mezzetti

Porcaro Tommaso , Financial Applications of Time-Varying Copulas, Advisor: Prof. Tommaso Proietti

Rezaeighasemkheili Ali , The impact of news on the US dollar index futures, Advisor: Prof. Gianni Nicolini

Serafino Barbara , Renewable Energy Derivatives and the securitization of cash-flows, Advisor: Prof. Gianni Nicolini

Smorra Luca , The Italian market of NPL: Banca IFIS case study, Advisor: Prof. Vincenzo Farina

Zhang Ge , Derivatives Usage and Gender Diversity of Board of Directors, Advisor: Prof. Gianni Nicolini

Cairone Simone , The inductive research of the change in decision-making of family business founder, Advisor: Prof. Tommaso Proietti

Genovese Jacopo , The Growth of Reits Market in East Asia, Advisor: Prof. Ugo Pomante

Gentile Cristina , Measures of Asymmetric Information in Financial Markets, Advisor: Prof. Davide Pirino

Novikov Yurii , What are the country specific factors that influence the foreign direct investment?, Advisor: Prof. Vincenzo Farina

Renzetti Francesco ,   Empirical analysis on the phenomenon of delisting, Advisor: Prof. Vincenzo Farina

Schiavo Edoardo , Financial crisis, Buyout investments, and Corporate performance: the Italian case, Advisor: Prof. Vincenzo Farina

Fu Yite , The inductive research of the change in decision-making of family business founder, Advisor: Prof. Luca Gnan

Vittiglio Emanuele , Cointegration and trading opportunities: an empirical analysis Advisor: Prof. Vincenzo Farina

Rognone Lavinia , Pricing interest rate derivatives in a negative yield environment, Advisor: Prof. Stefano Herzel

Melone Alessandro , Understanding and Forecasting Financial Market Volatility Over Long Horizons, Advisor: Prof. Tommaso Proietti

D'Aria Marianna , The Credit Valuation Adjustment: Regulation and Implementation, Advisor: Prof. Stefano Herzel

Cesaroni Giulia , Contingent Convertible Bonds - A Market-Conform Equity Derivative Model, Advisor: Prof. Stefano Herzel

Carrozi Stefano , Negative Rates in the SABR Model, Advisor: Prof. Stefano Herzel

Bernardi Cristiano , Four Moments Portfolio Optimization: an Empirical Test, Advisor: Prof. Ugo Pomante

Almonte Stefania , Assessing the predictive ability of financial variables through a mixed frequency approach: some evidence from the Italian case, Advisor: Prof. Gianluca Cubadda

Baggia Douglas , Succession Process In Family Owned Businesses in Honduras: Incorporating new young members, Advisor: Prof. Luca Gnan

Barrano Salvatore , The Implied volatility as a risk predictor: the case of Brexit, Advisor: Prof. Gianni Nicolini

Giacomazzi Consuelo , Optimization of CFDs portfolio implementing SMA technique, Advisor: Prof. Gianni Nicolini

Moradi Hadi , The Determinants and Investigating of CANSLIM Method Profitability for Evaluation of Tehran Stock Exchange Stocks, Advisor: Prof. Sandro Brunelli

Maino Andrea , Time Varying Dependence and Panic Copula model for Risk Measurements, Advisor: Prof. Stefano Herzel

Petrova Denitza ,On Psychological Barriers and Price Behaviors: Evidence from Eastern European Markets, Advisor: Prof. Gianni Nicolini

Riccardo Antonio , Vector Heterogeneous Autoregressive Index Model: an application on NYSE mahjor Banks'assets, Advisor: Prof. Gianluca Cubadda

Svetlomirova Biliana , Cryptocurrency:Nature and Features, Advisor: Prof. Williams De Ascaniis

Verneau Guglielmo , Loss Estimation in Structured Credit Products, Advisor: Prof. Stefano Herzel

Taraborrelli Jessica , The Management of A Real Estate Fund, Advisor: Prof. Ugo Pomante

Scalia Roberto , Forecasting Real Estate Prices, Advisor: Prof. Tommaso Proietti

Sardo Simone , Sovereign CDS: how the default probability influence the market, Advisor: Prof. Gianni Nicolini

Santurelli Simone , The impact of reputation on banks liquidity risk: a study of italian listed banks, Advisor: Prof.  Vincenzo Farina

Rinaldi Francesco , Portfolio construction and valuation: machine learning techniques applied to quantitative trading system, Advisor: Prof. Ugo Pomante

Procacci Pierfrancesco , Flexible Bayesian Framework in Portfolio Construction: Entropy Pooling, Advisor: Prof. Ugo Pomante

Petrilli Luka , Undirected Graphs for Large Scale Portfolios of European Stocks, Advisor: Prof. Tommaso Proietti

Maino Andrea , Behavioral risk modeling and Agency MBS valuation, Advisor: Prof. Stefano Herzel

Luzzi Francesco , News related to macroeconomic variable as risk factors on equity returns: evidence from Asian markets, Advisor: Prof. Rocco Ciciretti

Jiao Xuyang , Are There Tournaments in Mutual Funds?, Advisor: Prof. Stefano Herzel

Iasenzio Stefano , A Vector Heterogeneous Autoregressive Index Model for Realized Volatility: some empirical results for European Equity Indexes, Advisor: Prof. Gianluca Cubadda

Cortesini Alessandro , Test on Fama French factor on Hong Kong Singapore and India stock market, Advisor: Prof. Rocco Ciciretti

Cordiner Lorenzo , Statistical Arbitrage with Index Options: An Empirical Study of the European Option Market, Advisor: Prof.  Marianna Brunetti

Carnevali Laura , An Empirical Analysis of the Italian attitude toward Mortagage Refinancing, Advisor: Prof.  Rocco Ciciretti

Avoli Alessandro , The CDS spread and spread charge determinants in the US Market, Advisor: Prof.  Marianna Brunetti

Arnone Raffaella , Econometric analysis of Value-at-Risk and Expected Shortfall, Advisor: Prof. Tommaso Proietti

Di Cosmo Marco , Calendar anomalies: Evidence from Real Estate Investment vehicles, Advisor: Prof.  Gianluca Mattarocci

Fortuna Alice , Multiple bankin: the Italian case, Advisor: Prof. Marianna Brunetti

Korsaye Sofonias Alemu , Artificial Neural Networks for Implied Volatility Surface: Construction and Dynamics, Advisor: Prof. Cesare Robotti

Romaniello Christian , Central Couterparties: A numerical implementation of the default waterfall, Advisor: Prof. Stefano Herzel

De Michelis Francesco , Technical Anlysis, Advisor: Prof. Stefano Herzel

Torelli Edoardo , Convexity Correction for Interest Rate Derivatives, Advisor: Prof. Stefano Herzel

Aguilar Jauregui Catherine Stefany , Sustainability and outreach trade-off of Microfinance Institutions in Peru, Advisor: Prof. Leonardo Becchetti

Bologni Enrico , The effects of Microfinance on poverty reduction. The Case study of Buen Vivir, Ecuador, Advisor: Prof. Leonardo Becchetti

Borzi Chiara , Real Estate Factor Premium, Advisor: Prof. Gianluca Mattarocci

Brescia Mauro , The optimal capital structure of the firm with taxes, bankruptcy costs and stochastic volatility, Advisor: Prof. Stefano Herzel

Cavarretta Maria Chiara , Power Options in the Italian electricity market: an assessment of their potential in managing risk for the Italian operators, Advisor: Prof. Gianni Nicolini

Cea Lorenzo , A LIBOR Market Model with Multiple Curves, Advisor: Prof. Stefano Herzel

D'Orazio Gianpaolo , Portfolio construction and empirical testing of Black Litterman model, Advisor: Prof. Ugo Pomante

Goudarzi Mostafa , Dynamic Spillover Effect in Future Markets, Advisor: Prof. Gianni Nicolini

Leone Stefano , ALM logics for Pension Funds, Advisor: Prof.Ugo Pomante

Principe Claudia , Impact of International Cross-Listing on Stock Liquidity: Evidence from European Stock Exchanges, Advisor: Prof. Gianluca Mattarocci

Sajadi Zahra , A review on the impact of venture capital on family businesses, Advisor: Prof. Luca Gnan

Serafini Alberto , Comparative analysis of socially responsible and traditional investments, Advisor: Prof. Stefano Herzel

Turchetti Cristiano , An affine term structure for European interbank risk, Advisor: Prof. Stefano Herzel

Verico Marco , Eccomi!. The App for one-to-one volunteerism. From idea generation to fundraising, Advisor: Prof. Williams De Ascaniis

Amiraslanov Farid , A comparative analysis of the family business governance in UK, Canada and China, Advisor: Prof. Luca Gnan

Azzarelli Filippo , The impact of corporate governance on capital structure, Advisor: Prof. Vincenzo Farina

Bernardo Giuseppe , Lines of credit in corporate finance, Advisor: Prof. Gianluca Mattarocci Colarossi Daniele, Active management and returns dispersion, Advisor: Prof. Rocco Ciciretti

Di Mario Alessio , Prospectus content, investor attention and IPO first-day returns, Advisor: Prof. Vincenzo Farina

Ducci Lorenzo , Estimating the probability of default with balance sheet information: an empirical analysis on US SMES during the last financial crisis, Advisor: Prof. Marianna Brunetti

Febo Angelo W. , Liquidity, market impact and optimal trading strategies, Advisor: Prof. Stefano Herzel Formichella Valentina, The credit value adjustment, Advisor: Prof. Stefano Herzel

Giosi Pierluigi , Pricing variance swap contracts, Advisor: Prof. Stefano Herzel

Gomez Walter Alexandar , Return based style analysis of globally invested flexible mutual funds, Advisor: Prof. Ugo Pomante

Klimovich Sergey , An analysis of co-integration of financial derivative markets in a worldwide perspective, Advisor: Prof. Gianni Nicolini

Li Yanjun , Credit cycle and macroprudential policy, Advisor: Prof. Luisa Corrado

Maccari Laura , The creditworthiness evaluation through the rating system: an empirical application to the construction industry, Advisor: Prof. Gianluca Mattarocci

Malek Mohammadi M. , Portfolio optimization with parametric quadratic programming, Advisor: Prof. Stefano Herzel

Mao Wenli , The influence of venture capital on family governance system, Advisor: Prof. Luca Gnan

Mtengwa Nyashadzashe , Impact investing: an advanced market capital allocation framework, Advisor: Prof. Ugo Pomante

Piccirelli Alessia , How diversification affects idiosyncratic and overall risk of open-end equity funds, Advisor: Prof. Rocco Ciciretti

Quaranta Nicoletta , CSR and idiosyncratic volatility, Advisor: Prof. Rocco Ciciretti

Ranalli Giulia , Minibond. What kind of issuers are SMES? Evidence from the financial statement analysis, Advisor: Prof. Ugo Pomante

Setaro Arianna , Short term inflation density forecasting with a Bayesian Var, Advisor: Prof. Tommaso Proietti

Stragapede Michele , Portfolio value at risk with jumps, Advisor: Prof. Stefano Herzel

Strauss Magdalena , A discussion of a matrix exponential model for spatially  correlated data, Advisor: Prof. Maura Mezzetti

Tamburri Matteo , A comparison of forecasting performances between random walk, Garch-m and Egarch-m, Advisor: Prof. Marianna Brunetti

Totev Aleksandar , Corporate ownership of American and German companies: a comparative analysis of dual-class shares. Market performance and tendencies, Advisor: Prof. Luca Gnan

Troiano Federica , Labor market differences between natives and immigrants, Advisor: Prof. Franco Peracchi

Tucci Simone , The usefulness of the omega ratio in evaluating investment opportunities in the Greek Market, during the  crisis, Advisor: Prof. Gianluca Mattarocci

Viselli Gabriele , The share of income from non-intermediation activities in the European cooperative Banks, Advisor: Prof. Rocco Ciciretti

Wang Cizhi , Case study in Wanda and Huawei, so that we can find some suggestion on shareholder structure and employees motivation, Advisor: Prof. Luca Gnan

Abbasov Farid , Liqudity risk at Basel III, Advisor: Prof. Gianluca Mattarocci

Canori Alfredo , Basel III: A new regulatory framework, Advisor: Prof. Sandro Brunelli

Cesari Lorenzo , ESG performance and financial performance of equity mutual funds, Advisor: Prof. Stefano Herzel Di Rocco Andrea, Corporate social responsibility around the world, Advisor: Prof. Vincenzo Farina

Ficcadenti Valerio , Inflation and growth: some empirical results from the European Union countries, Advisor: Prof. Giovanni Trovato

Kelemen Iringo Anna , Tactical asset allocation embedding with the Black-Litterman model's views, Advisor: Prof. Ugo Pomante

Kraujutaityte Faustina , Competition among stock exchanges : comparison of listing regulations of singapore stock exchange and London stock exchange, Advisor: Prof. Nicoletta Ciocca

Marcone Michela , Stochastic methods for capital budgeting analysis, Advisor: Prof. Roberto Monte

Norante Valentini Giulio , Multinational companies and currency risk in the speculative attacks, Advisor: Prof. Gianluca Mattarocci

Petrini Francesco Maria , From Bail-out to Bail-in: a new framework of rules", Advisor: Prof. Leonardo Becchetti

Petrongari Michael , Future on Commodities: Agrex  – Agricultural Derivatives Exchange, Advisor: Prof. Gianni Nicolini

Rahimli Sarkhan , Constant proportion portfolio insurance strategies and Related gap risk measures for processes with jumps and Applications, Advisor: Prof. Sergio Scarlatti

Razi Bibi Alia , The difference between the modern marketing management practices of family business, Advisor: Prof. Luca Gnan

Recupero Silvia , The Gold Pricing: Evidence from the Spot and the Future Gold Pricing, Advisor: Prof. Gianni Nicolini

Scalone Chiara , Italian target maturity funds: investment style and performance analysis, Advisor: Prof. Rocco Ciciretti

Tallarida Tiziano , Asset market microstructure: order book analysis, Advisor: Prof. Stefano Herzel

Bendziute Dovile , Commercial and Investment Banking in Economies with Asymmetric Information, Advisor: Prof. Eloisa Campioni

Cilla Edoardo , Measuring and modelling the risk of liquidity, Advisor: Prof. Stefano Herzel

Del Signore Piera , Evaluating Density Forecasts for Financial Time Series, Advisor: Prof. Tommaso Proietti

Donato Ludovico , Investor Sentiment and Asset Prices Can a protable trading strategy be devised from a Pessimism index?, Advisor: Prof. Ugo Pomante

Girardi Alessio , Investing in vice: An empirical study based on the U.S. market, Advisor: Prof. Ugo Pomante

Grasso Adriana , Dynamic portfolio strategies with liquidity costs, * Advisor: Prof. Stefano Herzel

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Lamaj Erisa , An overview of VaR. An application of Block Maxima method in risk management for heavy tailed stock returns, Advisor: Prof. Ugo Pomante

Malatesta Fabrizio , Ethical funds and liquidity risk, * Advisor: Prof. Stefano Herzel

Mariotti Sara , Pricing and hedging CDOs using copulas, Advisor: Prof. Stefano Herzel

Oshafi Vesna , Trading in secondary loan markets, Advisor: Prof. Andrea Kamal Attar

Sarcinelli Nicola , Value creation through strategic diversification: the Fincantieri case, Advisor: Prof. Sandro Brunelli

* judged "particularly relevant" in the contest of the prestigious Bank of Italy Prize "Giorgio Mortara", for the best thesis of the year

Capo Mariangela , Managing risk exposures using the risk budgeting approach: the equal risk contribution portfolio construction and analysis, Advisor: Prof. Ugo Pomante

D'Onofrio Rossella , Pricing the Energy: the case of the European natural gas, Advisor: Prof. Stefano Herzel

Flores Deborah , A tactical asset allocation perspective applied to the black-litterman model, Advisor: Prof. Ugo Pomante Inglese Gabriele, Home bias and new measures of bias in asset allocation, Advisor: Prof. Ugo Pomante

Lautizi Francesco , Empirical estimates of pricing kernel and risk aversion, Advisor: Prof. Stefano Herzel Manenti Dario, Flexible funds: strategies and performances, Advisor: Prof. Ugo Pomante

Pavana Marco , Mutual fund performance: active versus passive management, Advisor: Prof. Ugo Pomante

Sangrigoli Dario , The evolution of the finance-growth nexus: past studies and new perspectives, Advisor: Prof. Leonardo Becchetti

Santorelli Giulio , Demographic structure and asset returns: A new prospective from international data, Advisor: Prof. Marianna Brunetti

Cassetti Sante , Sequential conditional Correlation, Advisor: Prof. Tommaso Proietti

Santangelo Daniela , The Goldman Sachs event and SRI funds, Advisor: Prof. Rocco Ciciretti

Formica Francesco , Basel III and its potential impact on global banks, Advisor: Prof. Stefano Caiazza

Periotto Marco , Provate equity and venture  capital market in Italy: performances and potential development, Advisor: Prof. Vincenzo Farina

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Department of Finance

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The preparation for the application as well as the writing of the Bachelor or Master's thesis at the Department of Finance entails different steps, whereby the application process is described in detail here.

  • You find your own topic, write a Research Proposal and submit it via DF Thesis Market.
  • Choose one of the provided Topic Proposals and apply for the corresponding topic on the DF Thesis Market including a letter of motivation.
  • Supervisor: If your Research Proposal has been accepted or your application for an existing topic has been successful, you will be contacted by the person who will supervise you in your thesis. Based on your Research Proposal inputs, your supervisor will formulate the thesis assignment.
  • Thesis assignment on OLAT: The task assignment includes your official thesis assignment for the written thesis. It can be collected on OLAT from the moment you have been informed by your supervisor. Once you collect the thesis assignment on OLAT, the time limit of six months starts.
  • Time limit: Start working on your thesis early and discuss problems with your supervisor. Nevertheless, remember that a Bachelor or Master’s thesis is to be written independently.
  • Submission: You must submit your thesis via OLAT i.e. you upload your thesis and any additional documents/attachments as a ZIP-file to OLAT.
  • Grading of task: You receive your grade within a month after submission.

The following Video in German shows the recording of a presentation (PDF, 276 KB) in which the students were informed. It goes more into detail about the individual steps.

The prerequisite for writing a Bachelor and Master's thesis at the Department of Finance is relevant prior knowledge in the corresponding subject area. In particular, the relevant lectures must have been attended and passed. Provided Topic Proposals may contain further requirements, which you will find in the respective proposal.

It is also important that the rules and instructions of the Dean's Office ( study and graduation ) are generally to be noted. The responsibility regarding compliance with these regulations lies with you.

Application

In order to write a thesis at the Department of Finance, a digital application via the DF Thesis Market is required. You will need the following documents for the application:

  • Curriculum Vitae (as PDF)
  • Transcript of records (as PDF, current export from the Module Booking)
  • Research Proposal (if you propose a topic of your own)

For the application via the Department of Finance Thesis Market, you also need your UZH login credentials (shortname and password).

There are two ways to apply for a thesis at the Department of Finance:

Option A: Own topic

Elaborate your own suggested topic and write a Research Proposal. On two to three pages, the Research Proposal summarises your motivation, the objectives, the planned procedure and the expected results. The following documents serve as a guide:

  • Instructions for writing a Research Proposal (PDF, 114 KB)
  • Example of a Research Proposal (PDF, 205 KB)

If you would like to write an empirical paper, check before submitting your application whether the data you need can be found in the available databases . It is advisable to check with a concrete example whether the data quality is sufficient (e.g., availability of time series).

It is important that you assign your Research Proposal to the correct research area so that it can be made available to appropriate supervisors. The research areas and fields of interest listed in the table below can serve as a decision-making aid. The links of the Professors lead to the Bachelor and Master's theses that they supervised so far. They can give an intuition on typical topics for writing a thesis.

Based on your Research Proposal, the final thesis assignment will be issued. However, the Department of Finance reserves the right to ask for improvements to the proposal, to make changes, to provide a different topic or to reject the application.

Option B: Provided topic

Apply for a topic provided by a supervisor via DF Thesis Market . Look at the topics on the marketplace, choose one and apply. Note that in addition to a CV and transcript of records, a short letter of motivation is also required for the application. Describe how the provided topic matches your skills and interests, and how the topic fits into your course of study.

Useful documents

As guidance to help you estimate the length of a thesis, we provide you with two sample theses:

  • Bachelor’s thesis: The different theories of the 2010 Flash Crash with main focus on high-frequency trading (PDF, 1 MB)
  • Master’s thesis: Strategic Allocation to Return Factors (PDF, 1 MB)

Additionally you can find a template for LaTeX (ZIP, 414 KB) .

Further notes

The Department of Finance strongly recommends that you start finding a topic for your Bachelor or Master's thesis at an early stage. The application must be submitted at least one month before the desired starting month. For example if you want to start writing your thesis at the beginning of May, you must apply by the end of March. 

The matching process usually takes about a month, sometimes longer (especially for your own proposals), since all supervisors supervise several theses, and your own proposal must match the interests of your supervisor in terms of content. We will inform you as soon as the matching process is completed, or if we need further information or adjustments from you. If you want/need to start as soon as possible, you also have the option to apply to one of the posted proposals.

The DF endeavours to offer all applicants the opportunity to write a thesis at the Department of Finance, but we cannot guarantee a specific topic or a specific supervisor. Temporary bottlenecks may occur in the supervision. If you have any questions or problems in connection with your application, please contact the study coordinator and Managing Director of the DF, Dr. Benjamin Wilding, at [email protected] .

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Banking and Finance Dissertation Topics (28 Examples) For Research

Mark May 26, 2020 Jun 5, 2020 Banking and Finance , Finance No Comments

Are you searching for banking and finance dissertation topics? We understand that selecting a dissertation topic is one of the biggest challenges. So, we offer a wide range of banking and finance dissertation topics and project topics on banking and finance. You can also visit our site for corporate finance dissertation topics and other business […]

banking and finance dissertation topics

Are you searching for banking and finance dissertation topics? We understand that selecting a dissertation topic is one of the biggest challenges. So, we offer a wide range of project topics on banking and finance.

Our team of writers can provide quality work on your selected banking and finance research topics. Once you select from the research topics on banking and finance, we will provide an outline, which can provide guidance on how the study should be carried out .

If you have come to this post after searching for corporate finance or finance topics, following are the seperate posts made on these topics.

  • Finance Research Topics
  • Corporate Finance Research Topics

Banking and finance dissertation topics

Role of micro-loans in the modern financial industry.

Online currencies like Bitcoin brought changes in the concept of fiat currencies.

Identifying the forces causing American retail banking centres to change.

Analysing the treatment of off-balance sheet activities.

Examining the role of internet banking in society.

Evaluating how the modern economy prevents a run on the banks from happening.

To find out whether the technology can replace the role of retail banking centre.

Relationship between housing loans and the 2008 recession.

Impact of foreign direct investment on the emerging economies.

Identifying the best capital structure for a retail bank.

To study the effect of mergers and acquisition on employee’s morale and performance in the case of banks.

Evaluating the credit management and issues of bad debts in commercial banks in the UAE.

To what extent the electronic banking has affected customer satisfaction.

Portfolio management and its impact on the profitability level of banks.

Impact of interest rate on loan repayment in microfinance banks.

An appraisal of operational problems facing micro-finance banks in delta state.

Studying the impact of risk management on the profitability of banks.

Evaluation of bank lending and credit management.

Role of automated teller machine on customer satisfaction and retention.

Examining the impact of bank consolidation on operational efficiency.

Competitive strategies and changes in the banking industry.

Development of rural banking in the case of developed countries.

The effect of electronic payment systems on the behaviour and satisfaction level of customers.

How does the organisational structure affect the commercial banks and their performance?

How can banks use ratio analysis as a bank lending tool?

Evaluating the relationship between e-banking and cybercrime.

Studying the importance of credit management in the banking industry.

Problems related to loan granting and recovery.

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200 Finance Dissertation Topics: Quick Ideas For Students

finance dissertation topics

Finance dissertation topics are on-demand in the 21st century. But why is this so? It may perplex you how everyone is up and down looking for interesting, quality finance topics. However, the answer is simple: because fascinating finance dissertation topics can earn students bonus points.

We will delve into that in just a second. Your finance topic dictates the difficulty of the assignment you are going to handle. Landing on the right topic means that you will not have to toil as much as when you pick a highly complex topic. Does it make sense?

Let’s explore the nitty-gritty of finance dissertation papers before we get into mentioning the top-rated finance research topics list.

What Is A Finance Dissertation?

As the name goes, finance dissertation is a kind of writing that investigates a particular finance topic selected by the student. The topics range from the stock market, banking, and risk management to healthcare finance topics.

This dissertation provides the student with a degree of academic self-confidence and personal satisfaction in the finance field. Finance writing requires extensive research to create a persuasive paper in the end.

Writing Tips For Finance Dissertations

Are you uncertain concerning what you need to do to compose a top-notch finance dissertation? Worry no more! Our professional writers have put together some essential suggestions to kick you off. In the next few minutes, you will be in a position to create a perfect finance dissertation painstakingly:

  • Narrow down your topic : Trim down your finance topic to a specific niche. It should focus on one region; either micro-finance, macro-finance, or internet banking.
  • Verify your facts : Finance is a field that includes a lot of statistical data to be followed logically. Therefore, verify facts and figures with reliable sources before opting to use them in your paper.
  • Write concisely : Unlike other papers with long narrative tales, you should encapsulate a finance paper into a tight, concise paper. The rule of ‘short is sweet’ technically applies here at great length.
  • Arrange your data neatly : A paper that is stuffed with numerals and charts all over may turn down a reader at first sight. For an impressive finance thesis, know-how and when to use your data.
  • Write simply : Avoid jargon that may confuse an ordinary reader. Where a need is for technical terms to be used, illustrate them with relatable examples. Simplicity is gold in a finance dissertation. So, use it well.

With these tips and tricks, you are all set to start writing your finance paper. We now advance to another crucial part that will make sure your finance paper is refined and at per with your institution’s academic standards.

General Structure of a Finance Dissertation

It is crucial to consult your supervisor regarding your dissertation’s research methodology, structure, style, and reasonable length. Depending on the guidance of your supervisor, the structure may vary. Nonetheless, as a general guide, ensure the following sections are part and parcel of your dissertation:

  • Introduction: State the problem that you intend to address in your dissertation. It also includes a definition of key terms, the relevance of the topic and a summary of hypotheses.
  • Theoretical and empirical literature, hypotheses development and contribution: It provides the theoretical framework of your study. The hypotheses are based on the literature review.
  • Data and methodology: State the model (i.e. dependent and key independent variables) that you want to use the drawing on theoretical framework or economic argument that you may employ for your analysis. Define all control variables and describe the data used to test the hypothesis.
  • Empirical results: Describe the results and mention whether they are consistent with the hypotheses and relate them with the existing evidence in the literature. You will also describe the statistical and practical/economic significance of your findings.
  • Summary and conclusion: Summarize your research and state the general conclusion with relevant implications.

It is important to have all the dataset you want to use readily available before finalizing the topic. The dataset is essential for testing your hypotheses.

There are thousands of research topics for finance students available all over the internet and academic books. You only have to browse and lookup for the latest research or refer to past readings or course lectures.

Even though this exercise may look simple enough on the surface, it takes a lot of time to consider what makes for interesting finance topics adequately. Not all ideas you find will achieve the academic requirements that your supervisor expects from you.

Here is a list of freshly mint topics to use for numerous finance situations:

Impressive Healthcare Finance Topics

Healthcare involves more than just treating patients and administering injections. There are finance aspects that also come into play, including:

  • Strategies for marketplace achievement in turbulent times: Medical staff marketing
  • Effects of the employer executive compensation and benefits plan after the Tax Reform Act of 1986
  • Improving profitability through accelerating philanthropic giving to healthcare systems
  • Acceleration and effective information strategies for cash management in hospitals
  • Finding the system’s solution to health care cost accounting
  • How hospitals spend money from charitable organizations and donor funding
  • Models of enhancing cost accounting efforts by improving existing information sources
  • Strategies of increasing cash flow with a patient accounting review
  • A systematic review of productivity, cost accounting, and information systems
  • A study of the cost accounting strategies under the prospective payment system
  • How to manage bad debt and charity care accounts in hospitals
  • Achieving more value from managed care efforts in healthcare systems
  • Strategies of achieving economies of scale through shared ancillary and support services
  • Profitable ways of financing the acquisition of a health care enterprise
  • Effects of mergers and acquisitions on private hospitals
  • Measuring nursing costs with patient acuity data in hospitals
  • Affordable treatment and care for long-term and terminal diseases
  • Survey of the organization and structure of a hospital’s administration concerning financing
  • Impact of culture and globalization on healthcare financing
  • Discuss the necessity for universal health coverage in the United States

Finance Management Project Topics

If you are a finance management enthusiast, this section will impress you the most:

  • The impact of corrupt bank managers on its sustainability
  • How banks finance small and medium-scale enterprises
  • Loan granting and its recovery problems on commercial banks
  • An evaluation of credit management in the banking industry
  • The role of microfinance banks in the alleviation of poverty in the US
  • Comparative evaluation strategies in mergers and acquisitions
  • How to plan and invest in the insurance sector and tax planning
  • Impact of shareholders on decision-making processes on banks
  • How diversity in banks affects management and leadership practices
  • Credit management techniques that work for small scale enterprises
  • Appraisal on the impact of effective credit management on the profitability of commercial banks
  • The impact of quantitative tools of monetary policy on the performance of deposit of commercial banks
  • Financial management practices in the insurance industry and risk management
  • The role of the capital market in economic development
  • Problems facing financial institutions to the growth of small scale business in the USA
  • Why training and development of human resources is a critical factor in bank operations
  • The impact of universal banking financial system on the credibility
  • Security threats to effective management in banks
  • The effect of fiscal and monetary policy in controlling unemployment
  • The effects of financial leverage on company performance

Topics in Mathematics With Applications in Finance

Mathematics and finance correlate in several ways in that they borrow concepts from each other. Here are some of the mathematics concepts that apply to finance paper topics:

  • Linear algebra
  • Probability theory
  • Stochastic processes
  • Regression analysis
  • Value at risk models
  • Time series analysis
  • Volatility modelling
  • Regularized pricing and risk models
  • Commodity models
  • Portfolio theory
  • Factor modelling
  • Stochastic differential equations
  • Ross recovery theorem
  • Option, price, and probability duality
  • Black-Scholes formula, Risk-neutral valuation
  • Introduction to counterparty credit risk
  • HJM model for interest rates and credit
  • Quanto credit hedging
  • Calculus in finance and its application

International Finance Topics

International finance research topics deal with a range of monetary exchanges between two or more nations. Below is a list of international research topics in finance for you to browse through and pick a relevant one:

  • A study of the most important concepts in international finance
  • How internal auditing enhances good corporate governance practice in an organization
  • Factors that affect the capital structure of Go Public manufacturing companies
  • A financial engineering perspective on the causes of large price changes
  • Corporate governance and board of directors responsibilities
  • An exploratory study on the management of support services in international organizations
  • An accounting perspective of the need for theorizing corporation
  • Impact of coronavirus on international trade relations
  • Is business ethics attainable in the global market arena
  • How exchange rates affect international trading
  • The role of currency derivatives in shaping the global market
  • How to improve international capital structure
  • How to forecast exchange rates
  • Ways of measuring exposure to exchange rates fluctuations
  • How to hedge exposure to exchange rates fluctuations globally
  • How foreign direct investment puts individual countries at risk
  • How to stabilize international capital markets
  • A study of shadow banking in the global environment
  • A comparative analysis of Western markets and African markets
  • Exploring the monetary funding opportunities by the International Monetary Fund

Corporate Finance Research Topics

These 20 topics have the potential to help you write an amazing corporate finance paper, provided you have the will to work hard on your paper:

  • Short- and long-term investment needs for working capital trends
  • Identifying proper capital structure models for a company
  • How capital structure and an organization’s funding of its operations relate
  • Corporate finance decision making in unstable stock markets
  • The effect of firm size on financial decision making incorporates
  • Compare and contrast the different internationally recognized corporate financial reporting standards
  • Evaluate the emerging concept integrated reporting in corporate finance
  • Managing transparency in corporate financial decisions
  • How technological connectivity has helped in integrated financial management
  • How different investment models contribute to the success of a corporate
  • The essence of valuation of cash flows in financial and non-financial corporates
  • Identify the prevalent financial innovations in the USA
  • Ways in which governance influences corporate financial activities
  • Impact of taxes on dividend policies in developed nations
  • How corporate strategies related to corporate finance
  • Implications of the global economic crisis in the backdrop of corporate finance concepts
  • How information technology impact corporate relations among companies
  • Evaluate the effectiveness of corporate financing tools and techniques
  • How do FDI strategies compare in Europe and Asia?
  • The role of transparency and liquidity in alternative corporate investments

Finance Debate Topics

These finance debate topics are formulated in keeping with emerging financial issues globally:

  • Is China’s economy on the verge of ousting that of the US?
  • Does the dynamic nature of the global market affect the financial alienations of countries?
  • Is Foreign Direct Investment in retail sector good for the US?
  • Is it possible to maintain stable oil prices in the world?
  • Are multinational corporations good for the global economy?
  • Does the country of origin matter in selling a product?
  • Are financial companies misusing ethics in marketing?
  • Why should consumer always be king in marketing messages?
  • Does commercialization serve in the best interest of the consumer?
  • Why should companies bother having a mission statement?
  • Why should hospitals receive tax subsidies and levies on drugs?
  • Is television the best medium for advertisement?
  • Is the guarantor principle security or a myth?
  • Compare and contrast market trends in capitalism versus Marxism states
  • Does the name of a business have an impact on its development record?
  • Is it the responsibility of the government to finance small-scale business enterprises?
  • Does budgeting truly serve its purpose in a company?
  • Why should agricultural imports be banned?
  • Is advertising a waste of company resources?
  • Why privatization will lead to less corruption in companies

Finance Topics For Presentation

Is your group or individual finance presentation giving you sleepless nights just because you do not have a topic? Worry no more!

  • The role of diplomatic ties in enhancing financial relations between countries
  • Should banks use force when recovering loans from long-term defaulters?
  • Why mortgages are becoming difficult to repay among the middle class
  • Ways of improving the skilled workforce in developing
  • How technology creates income disparities among social classes
  • The role of rational thinking in making financial decisions
  • How much capital is necessary for a start-up?
  • Are investments in betting firms good for young people?
  • How co-operatives are important in promoting communism in a society
  • Why should countries stop receiving foreign aids and depend on themselves?
  • Compare and contrast the performance of private sectors over public sectors
  • How frequent should reforms be conducted in companies?
  • How globalization affects nationalism
  • Theories of financial development that is still applicable today
  • Should business people head the finance ministry of countries?
  • The impact of the transport sector on revenue and tax collection
  • The impact of space exploration on the country’s economy
  • How regional blocs are impacting developing nations
  • Factors contributing to the growth of online scams
  • What is the impact of trade unions in promoting businesses?

Finance Research Topics For MBA

Here is our best list of top-rated MBA financial topics to write about in 2023, which will generate more passion for a debate:

  • Evaluate the effect of the Global crisis to use the line of credit in maintaining cash flow
  • Discuss options for investment in the shipping industry in the US
  • Financial risk management in the maritime industry: A case study of the blue economy
  • Analyze the various financial risk indicators
  • Financial laws that prevent volatility in the financial market
  • How the global recession has impacted domestic banking industries
  • Discuss IMF’s initiatives in tackling internal inefficiency of new projects
  • How the WTO is essential in the global financial market
  • The link between corporate and capital structures
  • Why is it important to have an individual investment?
  • How to handle credit crisis in financial marketing
  • Financial planning for salaried employee and strategies for tax savings
  • A study on Cost And Costing Models in Companies
  • A critical study on investment patterns and preferences of retail investors
  • Risk portfolio and perception management of equity investors
  • Is there room for improvement in electronic payment systems?
  • Risks and opportunities of investments versus savings
  • Impact of investor awareness towards commodities in the market
  • Is taxation a selling tool for life insurance
  • Impact of earnings per share

Public Finance Topics

These interesting finance topics may augur well with university students majoring in public finance:

  • Financial assistance for businesses and workers during Coronavirus lockdowns
  • Debt sustainability in developing countries
  • How we can use public money to leverage private funds
  • Analyze the use of public funds in developed versus developing countries
  • The reliability of sovereign credit ratings for investors in government securities
  • Propose a method of analysis on the cost-benefit ratio of any government project
  • The role of entities in charge of financial intermediation
  • The reciprocity and impact of tariff barriers
  • Impact of the exempted goods prices on the trade deficit
  • Investor penalties and its impact in the form of taxes and penalties
  • Public government projects that use private funds
  • Ways of measuring the cost of sustainability
  • Maintaining economic growth to avoid a strong recession
  • The impact of the declining income and consumption rates
  • Effects of quarantine and forced suspension of economic activity
  • Innovative means of limiting the scale of pandemic development
  • The growing scale of the public debt of the public finance system
  • A critical analysis of the epidemiological safety instruments used in countries
  • The growing debt crisis of the state finance system
  • How to permanently improve and increase the scale of anti-crisis socio-economic policy planning

Business Finance Topics

You can address the following business finance research papers topics for your next assignment:

  • How organizations are raising and managing funds
  • Analyze the planning, analysis, and control operations and responsibilities of the financial manager
  • Why business managers should take advantage of the federal stimulus package
  • Economical ways of negotiating for lower monthly bills
  • Evaluate the best retirement plans for entrepreneurs
  • Tax reform changes needed to spearhead businesses to the next level
  • How politicians can help small businesses make it to the top
  • Setting up life insurance policies from which you can sidestep the banks and loan yourself money
  • Why every business manager should know about profit and loss statements, revenue by customers and more.
  • Advantages of creating multiple corporations to business entrepreneurs
  • Why good liquidity is a vital weapon in the face of a crisis
  • Reasons why many people are declaring bankruptcy during the coronavirus pandemic
  • Why you should closely examine the numbers before making any financial decisions
  • Benefits of corporations to small scale business ventures
  • How to start a business without money at hand
  • Strategies for improving your company’s online presence
  • Discuss the challenge of debt versus equity for small-scale businesses
  • The impact of financial decisions on the profitability and the risk of a firm’s operations
  • Striking a balance between risk and profitability
  • Why taking the ratio of current assets to current liabilities is important to any business

You can use any of the hot topics mentioned above for your finance dissertation paper or opt for our thesis writing services. We have competitive finance dissertation writing experts ready to tackle your paper to the core.

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thesis in banking and finance

38 Banking and Finance Dissertation Topics Ideas

Banking and Finance Dissertation Topics: Dissertation topics in banking and finance focus on how monetary exchanges and programs function in the banking sector, both nationally and internationally. This is also a very famous academic discipline throughout the world. Banking and Finance explore the dynamic, fast-paced world of money, shares, credit, and investments. Finance is an essential […]

Banking and Finance Dissertation Topics

Banking and Finance Dissertation Topics: Dissertation topics in banking and finance focus on how monetary exchanges and programs function in the banking sector, both nationally and internationally. This is also a very famous academic discipline throughout the world.

Banking and Finance  explore the dynamic, fast-paced world of money, shares, credit, and investments . Finance is an essential part of our economy as it provides liquidity in terms of money or assets required for individuals and businesses to invest in the future.

If you are looking for banking and finance dissertation topics, your search end here. Below is the list of best-selected banking and finance dissertation topics. Also, you can check our related posts for accounting & finance dissertation topics and financial accounting dissertation topics .

Best Banking and Finance Dissertation Topics ideas for college students

Banking is  the business of protecting money for others . Banks lend this money, generating interest that creates profits for the bank and its customers. A bank is a financial institution licensed to accept deposits and make loans.

Research topics in banking and finance have been collected together and presented in the form of an extensive list as below:

  • Implementing blockchain applications in the field of banking and finance: a descriptive approach.
  • Banking and finance post-COVID-19 pandemic: a review of the literature.
  • Studying the effects of monetary policy on banking and finance: a systematic analysis.
  • Islamic banking and finance: a quantitative study.
  • Effects of BREXIT on banking and finance contracts: a descriptive approach.
  • Financial fragility in the domain of banking and finance: a review of the literature.
  • Development and governance of Islamic banking and finance in X country.
  • Evaluating risk assessment in the area of banking and finance in X country.
  • Islamic banking and finance in present-day financial crisis: focus on current and future issues.
  • Sustainability in Islamic banking and finance: a systematic analysis.
  • Correlational analysis of financial stability, bank competition, and fire sales.
  • Development of a hypothetical model for internalization of banking and finance institutions.
  • The role played by information technology in the field of banking and finance: a systematic review.
  • Historical analysis of banking and finance in the UK: a quantitative study.
  • Credit risk versus financial risk in Islamic banking and finance.
  • Comparative analysis of banking and finance in UK and Asia.
  • The role played by intuitive decision-making in the field of banking and finance.
  • Working on mergers and acquisitions in the field of banking and finance.
  • Investigating illicit cyber activity in the field of banking and finance.
  • Interest-free banking and finance in the developing countries of the world.
  • Importance of compensation and risk incentives in the field of banking and finance.
  • Quality control in banking and finance: an exploratory study.
  • How e-commerce can be applied in the field of banking and finance.
  • Studying the big data and analytics as a customer loyalty tool in banking and finance: a descriptive study.
  • Data mining and banking and finance: a systematic analysis.
  • Studying the effects of enterprise risk management on the performance of firms in X country: focus on banking and finance sector.
  • Operations of Islamic banking and finance in the West: a systematic analysis.
  • Ethics in banking and finance programs: a review of the literature.
  • Relationship between risk and reputational capital in the banking and finance sector.
  • Highlighting the social and ethical issues in the banking and finance sector.
  • The current dilemma of financial instability in the structure of the banking and finance sector.
  • Comparative analysis of islands and small states within the banking and finance sector.
  • Studying the operational efficiency in the banking and finance sector: a review of the literature.
  • Social banking and social finance: a descriptive approach.
  • Finance employment: focus on UK banks.

Above is the best list of banking and finance dissertation topics pick any of your choices and start writing a dissertation. Fill out the form below and get the Dissertation topic mini proposal service from our experts.

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Master Thesis in Banking and Finance

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Related Papers

Prof. Onafowokan Oluyombo

Microfinance is fast becoming a household name globally due to its acceptance as a means of reaching those that were not served by the conventional big banks. The survival of microfinance institutions in any country depends majorly on the overall political and economic environment of such a nation. However, the greatest challenge the microfinance institutions will face globally in pursuance of its financial intermediary role is how best to manage its credit and risk exposures in comparison with the rising competition, sophistication and turbulent economic and social environment especially in developing nations. After examining different concept of microfinance and risk management, this paper focus on those peculiar risks associated with microfinance business and suggested how regulators and operators in the sector can best guide against distress or imminent collapse while striking a balance between profitability and unhealthy risk exposure.

thesis in banking and finance

Journal of Business Economics and Management

Karel Janda

Asian Journal of Agriculture and Development

NIMAL FERNANDO

Risk is an integral part of financial intermediation. Hence, risk management must be at the heart of finance. However, it is disturbing to note that systematic risk management is still not as widespread as it should be in the microfinance industry. Except for a few flagship microfinance institutions (MFIs), which constitute the core of the industry, most MFIs do not pay adequate attention to systematic risk management. The microfinance industry has grown rapidly during the last decade in breadth, depth, and scope of outreach. The rapid growth seems to continue, given the massive unserved and underserved market. The growth of the industry has changed the risk profile of MFIs. Yet many MFIs seem to continue to seek growth without much attention to attendant risks. Surprisingly, many MFIs appear to neglect even the basic credit risk management which helped MFIs achieve high growth rates historically. The growing interest of many MFIs in agricultural microfinance must be seen in the bro...

Working Papers Ies

Eric Palladini

Asian Journal of Business and Management

Erjona Suljoti

Josephine Mercado

Nzanzu Luvako

The conviction that microfinance contributes to the reduction of poverty has attracted various investors in the sector. With the continuous growth of investments in microfinance, if the social motive is the most plausible, one would expect countries with high rates of poverty and financial exclusion to be the most attractive for investments in this sector. Aiming to understand whether the distribution of investments in different regions is led by the attractiveness of these regions in terms of risk and return or rather in terms of social impact, we use aggregate data on funds invested in the sector through Microfinance Investment Vehicles (MIVs) to study the spread of investments in microfinance around the world. It comes from the results that investments are attracted by financial performance of MFIs in the different regions, considering the return on assets and the return on equity. Further, the expenses over the assets ratio which influences negatively the variation of the investments destination suggests that regions with high cots MFIs don't receive much funds from investors. On the other side, investments seem to be oriented towards regions in which there are already institutions offering financial services, but regions with less access to financial services don't look to be the destination of investments. Is search for profit the most important driver for investments in microfinance? The results seem to go in that direction, but further research with a wider and deeper database would bring more light. However, the outcomes allow us to confirm that even if it is believed to be a poverty fighting tool, not all the investments in the microfinance sector aim the contribution to poverty reduction.

Hans Dieter Seibel

Our knowledge about microfinance in developing countries has been greatly enriched in recent years by the experience of numerous institutions. Different sound technologies and practices of financial services to all segments of the population have emerged; there is no single best practice or optimal approach that could be simply replicated. People and institutions have to find out what suits them best. Through trial and error, they gain the experience which may then be cast into lasting innovations. Five case studies are presented, each with its own lessons concerning viability, sustainability, and outreach: two from Indonesia, two from Nepal, and one from India. In addition, lessons are drawn from the recent financial crisis in Indonesia concerning the importance of a triad of framework conditions: prudential deregulation, macroeconomic stability, and adequate bank supervision. The data are largely based on the author?s field research and consultancy work. --

Simon Grima

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Institute of Banking and Finance

We appreciate that you are interested in writing a thesis at the Institute of Banking and Finance. The following sections provide information on potential areas for both Bachelor and Master theses. When conducting your thesis, you will have to critically review the relevant literature and to carry out your own quantitative analysis. This requires applying software for statistical analysis (R, Matlab, or Stata). To prepare you, we offer online courses in scientific writing and an introduction to R. We are looking forward to supervising your thesis!

Bachelor theses

Master theses, general information on final theses, contact for general questions about theses, registration.

After you have been assigned to the Institute of Banking and Finance through the central allocation procedure of the Faculty of Economics and Management, you can apply for one of the topics listed below. If you have any questions, please contact Brian von Knoblauch .

Please note: Bachelor theses at our institute are always related to empirical research questions. We there strongly (!) recommend to conduct a seminar thesis at our institute and to take finance related classes.

An information session that covers organizational aspects and introduces available topics will be held on Tuesday, February 13, (Warning: Changed Date!) 2024, from 2:30pm - 4:00pm via Cisco WebEx . To join the session (via browser or app), please click here . Further information is available via this link (in German).

To choose preferences and your preferred starting date, please click here: Application form

Please also note that - to register your thesis - it is mandatory to complete our introductions to Scientific Writing and R .

Bachelor theses not related to the central allocation prodecure (industrial engineers or second attempts) can be registered throughout the whole year.  Please note that we can only offer a limited number of Wi-Ing places at our institute in the upcoming summer semester 2023. Currently (as of 01.02.2024) four places are still open.

As soon as you have received your topic, you will have 2 weeks to prepare a proposal (please take into account time to revise the proposal!). On 2-3 pages, the proposal should cover the following elements:

  • Problem setting and objective of the thesis
  • Methodology and theoretical and/or conceptual approaches
  • Necessary data and sources for data acquisition
  • Expected knowledge gains for research and/or practice
  • Basic literature (from international, peer-reviewed journals)

After the proposal has been accepted by your supervisor, your bachelor thesis will be registered immediately.

Bachelor theses in Behavioral Finance

Theoretical part of the task:

  • Explain the "noise trader theory" according to De Long et al (1990).
  • Define the term "investor sentiment" and outline approaches to measure sentiment.

Empirical part of the task:

  • Investigate the impact of investor sentiment on stock market returns or anomalies.
  • Test the robustness of your results with respect to combinations of selected control variables. Are you results robust to subperiods?

Basic literature:

  • Baker, M. and Wurgler, J. (2006): Investor Sentiment and the Cross-Section of Stock Returns.  The Journal of Finance,  61(4), 1645–1680.
  • Baker, M. and Wurgler, J. (2007): Investor Sentiment in the Stock Market. Journal of Economic Perspectives,  21(2), 129–152.
  • De Long, J.B., Shleifer, A., Summers, L.H., and Waldmann, R.J. (1990): Noise Trader Risk in Financial Markets.  Journal of Political Economy,  98(4), 703–738.
  • Fisher, K.L. and Statman, M. (2000): Investor Sentiment and Stock Returns.  Financial Analysts Journal,  56(2), 16–23.
  • Frazzini, A. and Pedersen, L.H. (2014): Betting against beta.  Journal of Financial Economics,  111(1), 1-25.
  • Jegadeesh, N. and Titman, S. (1993): Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.  The Journal of Finance,  48(1), 65-91.
  • Lee, W.Y., Jiang, C.X., and Indro, D.C. (2002): Stock market volatility, excess returns, and the role of investor sentiment. Journal of Banking & Finance,  26(12), 2277–2299.
  • Lee, C.M.C., Shleifer, A., and Thaler, R.H. (1991): Investor Sentiment and the Closed-End Fund Puzzle. The Journal of Finance, 46(1), 75–109.
  • Lemmon, M. and Portniaguina, E. (2006): Consumer Confidence and Asset Prices: Some Empirical Evidence.  The Review of Financial Studies , 19(4), 1499–1529.  
  • Stambaugh, R.F., Yu, J., and Yuan, Y. (2012): The short of it: Investor sentiment and anomalies.  Journal of Financial Economics , 104(2), 288-302.
  • Kenneth French Data Library
  • Refinitiv Datastream
  • Describe the term "investor sentiment" and explain ways to measure it. In particular, address methods for text-based measurement of investor sentiment.
  • Provide a review of relevant literature examining the relationship between text-based sentiment measures and stock returns.
  • Calculate a text-based sentiment measure and explain its step-by-step derivation from raw text to final measure.
  • Perform a descriptive analysis of the sentiment measure.
  • Analysieren den Zusammenhang zwischen Ihrem hergeleiteten Stimmungsmaß und Aktienrenditen anhand von Regressionsmodellen.
  • Analyze the relationship between your inferred sentiment measure and stock returns using regression models.
  • McDonald, B. and Loughran, T. (2011): When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks. The Journal of Finance, 66(1), 35-65.
  • Smales, L. A. (2017): The importance of fear: investor sentiment and stock market returns.  Applied Economics , 49(34), 3395-3421.
  • Stambaugh, R.F., Yu, J., and Yuan, Y. (2012): The short of it: Investor sentiment and anomalies. Journal of Financial Economics, Special Issue on Investor Sentiment,  104(2), 288-302.
  • Tetlock, P.C. (2007): Giving Content to Investor Sentiment: The Role of Media in the Stock Market. The Journal of Finance, 62(3), 1139-1168.
  • Refinitiv Workspace
  • Loughran-McDonald Master Dictionary
  • New York Times News Article
  • Separate the empirical evidence of investor participation from the assumptions of classical portfolio theory. Motivate and explain determinants of participation.
  • Formulate a probit model in accordance with relevant models from the literature. Introduce the probit regression.
  • Among other things, you will deal with estimation using the maximum likelihood method.

 Empirical part of the task:

  • Check the developed model by means of a panel data set.
  • Explicitly refer to the definitions you used to create variables and describe the data set.
  • Perform the estimation of the probit model and interpret your results.
  • Grinblatt, M., Keloharju, M., and Linnainmaa, J. (2011): IQ and stock market participation. The Journal of Finance, 66 (6), 2121-2164.
  • Kaustia, M. and Torstila, S. (2011): Stock market aversion? Political preferences and stock market participation. Journal of Financial Economics, 100(1), 98-112.
  • Van Rooij, M., Lusardi, A., and Alessie, R. (2011): Financial literacy and stock market participation. Journal of Financial Economics, 101(2), 449-472.
  • Brooks, C. (2019):  Introductory Econometrics for Finance. Fourth edition. Cambridge, United Kingdom; New York, NY: Cambridge University Press.
  • Polkovnichenko, V. (2005): Household Portfolio Diversification: A Case for Rank-Dependent Preferences.  The Review of Financial Studies, 18(4), 1467–1502.
  • Malmendier,  U. and Nagel, S. (2019): Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?.  The Quarterly Journal of Economics,  126(1), 373–416.

 Data:

  • Explain the difference between normative and descriptive decision theories.
  • Introduce and explain selected static and dynamic portfolio insurance strategies.
  • Explain Cumulative Prospect Theory (CPT) and its role for the evaluation of portfolio insurance strategies.
  • Conduct a simulation study comparing different selected portfolio insurance strategies in regard to their CPT value and the corresponding expected utility (EUT). Do the decisions of CPT investors differ from an EUT investor?
  • Interpret your results in regards to the sensitivity of your results to the different CPT parameters. Is any parameter more important than others?
  • Tversky, A. and Kahneman, D. (1992): Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and uncertainty , 5(4), 297-323.
  • Dichtl, H. and Drobetz, W. (2011): Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products. Journal of Banking and Finance , 35(7), 1683-1697.
  • Dierkes, M., Erner, C., and Zeisberger, S. (2010): Investment horizon and the attractiveness of investment strategies: a behavioral approach. Journal of Banking and Finance, 34, 1032-1046.
  • Explain the Cumulative Prospect Theory (CPT) as a descriptive decision theory and outline differences from normative decision theories.
  • Explain how individual stocks can be evaluated as "prospects" under the CPT.
  • Present the model-theoretical prediction for stock returns of companies depending on their CPT value.

Quantitative part of the task:

  • Calculate the CPT values of all companies in a relevant sample of a stock market (e.g., US market).
  • Analyze the performance of companies depending on their CPT values using portfolio construction and Fama-MacBeth regressions.
  • Evaluate with your performance analysis whether factor models (e.g., CAPM, Fama-French Three-Factor Model) can explain these returns.
  • Tversky, A. and Kahneman, D., (1992 ), Advances in prospect theory: Cumulative representation of uncertainty, Journal of Risk and Uncertainty , 5(4), 297-323. Cambridge, United Kingdom.
  • Barberis, N., Abhiroop, M. and Baolian, W., (2016 ), Prospect theory and stock returns: An empirical test, The review of financial studies , 29(11), 3068-3107. Cambridge, United Kingdom.
  • Bali, T.G., Engle, R. F. and Murray, S., (2016 ), Empirical asset pricing: The cross section of stock returns, John Wiley & Sons, Cambridge, United Kingdom.

Bachelor theses in Asset Management

  • Define sustainability criteria (e.g. ESG) and explain the Morningstar-Sustainability-Ranking .
  • Give an overview of the relevant literature of performance measurements and explain common descriptive and risk-adjusted performance measurements.
  • Calculate and compare performance measurements for different categories of sustainability funds and a market benchmark.
  • Identify and interpret differences between the categories.
  • Bauer, R., Koedijk, K., and Rotten, R. (2005): International evidence on ethical mutual fund performance and investment style. Journal of Banking & Finance, 29(7), 1751-1767.
  • Brooks, C. (2019): Introductory Econometrics for Finance. Fourth edition. Cambridge, United Kingdom ; New York, NY: Cambridge University Press.
  • Schroeder, M. (2006): Is there a Difference? The Performance Characteristics of SRI Equity Indices. Journal of Business Finance & Accounting, 34(1-2), 331-348.
  • Database of Richard Stehle
  • Morningstar

Bachelor theses in Risk Management

  • Introduce in general terms the role of volatility in financial markets.
  • Explain the concept of Realized Volatility and provide an overview of traditional econometric forecasting models, such as Corsi's (2008) heterogenous autoregressive (HAR) model.
  • Explain selected machine learning methods and their estimation procedures in the context of Realized Volatility predictions.
  • Evaluate the predictive performance of selected machine learning methods based on a chosen data set, such as daily Realized Volatility of the S&P 500.
  • Compare your results with those of selected traditional econometric models and discuss your findings.

Basic literature (selection):

  • Corsi, F. (2008): A Simple Approximate Long-Memory Model of Realized Volatility.  Journal of Financial Econometrics,  7(2), 174–196.
  • Bucci, A. (2020): Realized Volatility Forecasting with Neural Networks.  Journal of Financial Econometrics,  18(3), 502–531.
  • Christensen, K., Siggaard, M., and Veliyev, B. (2022): A Machine Learning Approach to Volatility Forecasting. Journal of Financial Econometrics.
  • James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013): An introduction to statistical learning: with applications in R. 2nd Edition, Springer.

Data Resources:

  • Oxford Realized Library
  • Provide an overview of the relevant literature on the forecasting of credit defaults of companies and individuals.Pay special attention to so-called P2P loans.
  • Identify relevant characteristics of private debtors that potentially affect the risk of credit default.
  • Explain the logit regression and address the marginal effects and the ROC procedure.
  • Set up a logit model to estimate the probability of default of personal loans.
  • Analyse the Lending Club data set and present the characteristics of the loans granted there.
  • Do you estimate the logit model set up on the basis of the data, can defaults be forecast?
  • Emekter, R., Tu, Y., Jirasakuldech, B., and Lu, M. (2015): Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending.  Applied Economics, 47(1), 54-70.
  • Hull, J. (2018): Risk management and financial institutions. Hoboken, New Jersey: Wiley & Sons.
  • Brooks, C. (2014): Introductory econometrics for finance. Cambridge: Cambridge University Press. 
  • Lending Club Privatkredite, via kaggle.com

Bachelor theses in Asset Pricing

  • Describe the momentum anomaly and explain how to construct the momentum strategy.
  • Note both advantages and disadvantages of the momentum strategy. In particular, focus on momentum crashes.
  • Outline the risk management strategies of Barroso and Santa-Clara (2015) and Dierkes and Krupski (2022).
  • Estimate the momentum strategy for the U.S. market over the period from 1926 to 2022.
  • Implement the risk management strategies of Barosso and Santa-Clara (2015) and Dierkes and Krupski (2022).
  • Outline both advantages and disadvantages of each strategy.
  • Barroso, P. and Santa-Clara, P. (2015): Momentum has its moments. Journal of Financial Economics, 116(1), 111–120.
  • Cooper, M.J., Gutierrez, R.C., and Hameed, A. (2004): Market States and Momentum. The Journal of Finance, 59(3), 1345–1365.
  • Dierkes, M. and Krupski, J. (2022): Isolating momentum crashes. Journal of Empirical Finance, 66, 1-22.
  • Daniel, K. and Moskowitz, T.J. (2016): Momentum crashes. Journal of Financial Economics, 122(1), 221–247.
  • Jegadeesh, N. and Titman, S. (1993): Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65–91.
  • Kenneth French's database
  • Derive the Capital Asset Pricing Model (CAPM) and explain why the use of additional factors can be a useful extension.
  • Outline the three-factor model of Fama and French (1993).
  • Explain the value and the size effect on which the three-factor model is built.
  • Calulate the risk factors yourself using monthly price data.
  • Analyze to which extend multi-factor models can increase the explanability of return data.
  • Explicitly conduct a performance test against the CAPM.
  • What influence do the factors of value and size have on returns? Do they match your expectations? 
  • Fama, E. F. and French, K. R. (1993): Common risk factors in the returns on stocks and bonds.  Journal of Financial Economics, 33(1), 3–56.
  • Fama, E. F. and French, K. R. (1992): The cross-section of expected stock returns.  Journal of Finance, 47(2), 427–465.
  • Fama, E. F. and French, K. R. (2015): A five-factor asset pricing model.  Journal of Financial Economics, 116(1), 1–22.
  • Empirical research shows a strong negative relationship between returns and idiosyncratic volatility.
  • Derive why in neoclassical finance theory idiosyncratic volatility should not affect returns.
  • Introduce the so-called idiosyncratic volatility puzzle and provide an overview of relevant related literature. Explain possible solutions to the puzzle.
  • Calculate idiosyncratic volatilities for a cross-section of stocks.
  • Evaluate pricing effects of idiosyncratic volatility using portfolio formation and investigate whether they are significant.
  • Ang, A., Hodrick, R. J., Xing, Y., and Zhang, X. (2006): The cross‐section of volatility and expected returns.  Journal of Finance, 61(1), 259-299.
  • Ang, A., Hodrick, R. J., Xing, Y., and Zhang, X. (2009): High idiosyncratic volatility and low returns: International and further US evidence.  Journal of Financial Economics, 91(1), 1-23.
  • Bali, T. G. and Cakici, N. (2008): Idiosyncratic volatility and the cross section of expected returns.  Journal of Financial and Quantitative Analysis, 43(01), 29-58.
  • Short-Term Reversal is one of the most distinctive anomalies in asset pricing. Explain the (short-term) reversal effect and show why this effect counteracts the weak form of the efficient market hypothesis.
  • Introduce to the relevant literatur.
  • Provide an overview of the different explanatory approaches.
  • Conduct an empirical analysis of the short term reversal effect using linear regression and portfolio formation.
  • Investigate whether the short term reversal effect can be explained by capital market models (e.g. CAPM, Fama-French three factor model).
  • Jegadeesh, N. (1990): Evidence of predictable behavior of security returns.  Journal of Finance, 45(3), 881-898.
  • Jegadeesh, N. and Titman, S. (1995): Short-horizon return reversals and the bid-ask spread. Journal of Financial Intermediation, 4(2), 116-132.
  • Campbell, J. Y., Grossman, S. J., and Wang, J. (1993): Trading volume and serial correlation in stock returns.  Quarterly Journal of Economics, 108, 905–939.
  • Kelly, B., Moskowitz, T., and Pruitt, S. (2021): Understanding Momentum and Reversal.  Journal of Financial Economics, 140(3), 726-743.
  • CRSP US Stock Databases
  • Introduce the topic of economic uncertainty and distinguish this concept from other concepts relevant to finance such as risk and investor sentiment.
  • Introduce the literature on uncertainty measurement and explain the different methodological approaches. In this context, explain in detail the derivation of two selected measures.
  • Explain why economic uncertainty can have a theoretical impact on real and financial economics.  In this context, present empirical literature that examines the relationship between uncertainty and financial markets.
  • Perform a descriptive analysis of the selected uncertainty measures.
  • Analyze the relationship between the selected uncertainty measures and stock returns using regression models.
  • Bloom, N. (2014): Fluctuations in Uncertainty. Journal of Economic Perspectives, 28(2), 153-176.
  • Brogaard, J., and Detzel, A. (2015): The Asset-Pricing Implications of Government Economic Policy Uncertainty. Management Science, 61(1), 3-18.
  • Jurado, K., Ludvigson, S. C., and Serena, N. (2015): Measuring Uncertainty. American Economic Review,  105(3), 1177-1216.
  • Knight, F.H. (1921): Risk, Uncertainty and Profit. Houghton Mifflin Company, Boston , 682-690.
  • Datenbank von Sydney Ludvigson
  • EPU Datenbank

Bachelor theses in Corporate Finance

  • Standard methods for calculating the cost of capital use realized returns as an approximation for expected future returns. Implicit cost of capital offer an alternative in which the estimator for the cost of capital is derived implicitly and ex ante from a valuation model.
  • Give an introduction into the valuation of companies.
  • Derive the cost of capital model according to Ohlson and Juettner-Nauroth (2005).
  • The cost of capital model above requires forecasts of earnings. Explain how earnings can be estimated via regression using the model of Hou et al. (2012). Additionally, address advantages and disadvantages for using estimates from analysts as alternative.
  • Conduct an empirical analysis of implicit capital costs at firm and market level for the German (European) stock market.
  • Compare the implied cost of capital estimates when using analyst forecasts and when using earnings forecasts by the model of Hou et al. (2012), respectively. 
  • Hou, K., Van Dijk, M. A., and Zhang, Y. (2012): The implied cost of capital: A new approach.  Journal of Accounting and Economics, 53(3), 504–526.
  • Ohlson, J. A. and Juettner-Nauroth, B. E. (2005): Expected eps and eps growth as determinants of value.  Review of accounting studies, 10(2), 349–365.
  • CDAX/STOXX Europe 600 (from Refinitiv Workspace)
  • I/B/E/S Estimates

Application for master theses is possible throughout the year, i.e. there are no fixed deadlines. However, you should contact us at least 4 weeks before the desired registration date to find a topic and prepare a proposal.

Please contact Brian von Knoblauch by e-mail and include the following information:

  • Choose two preferences from the topics listed below.
  • Outline your motivation.
  • When is your master thesis supposed to start?
  • An up-to-date overview of your grades.

Subsequently, you will receive an e-mail from your supervisor (depending on the topic) to arrange an appointment. In this meeting, we will define the research question of your thesis and outline what should be included in your proposal.

As soon as you have received your topic, you will have roughly 3 weeks to prepare a proposal (please take into account time to revise the proposal!). On 2-3 pages, the proposal should cover the following elements:

After the proposal has been accepted by your supervisor, your master thesis will be registered immediately.

Brief description of the area

Investor sentiment is an important element of Behavioral Finance. Hence, there are numerous studies to analyze the impact of investor sentiment on stock markets. In addition to sentiment measures, recent studies particularly focus on the effects of sentiment on individual and aggregated stock returns. However, both are not conclusively clarified areas of research.

Possible topics (among others) are

  • Measuring investor sentiment: alternatives to the Baket and Wurgler (2006) sentiment Index
  • Investor sentiment and stock returns
  • Investor sentiment and the risk-return trade-off
  • Effects of investor sentiment on capital market anomalies

Basic literature

  • De Long, B.J., Shleifer, A., Summers, L.H., and Waldman, R.J. (1990): Noise Trader Risk in Financial Markets. Journal of Political Economy,  98(4), 703–738.
  • Baker, M. and Wurgler, J. (2006): Investor sentiment and the cross-section of stock returns. The Journal of Finance, 61(1), 1645–1680.
  • Kozak, S., Nagel, S., and Shrihari, S. (2018): Interpreting Factor Models. The Journal of Finance, 73(3), 1183–1223.
  • Yu, J. and Yuan, Y. (2011): Investor sentiment and the mean–variance relation. Journal of Financial Economics, 100(2), 367–381.
  • Stambaugh, R.F., Yu, J., and Yuan, Y. (2012): The short of it: Investor sentiment and anomalies. Journal of Financial Economics, Special Issue on Investor Sentiment, 104(2), 288–302.

Preferences are a behavioral approach to explain the observed deviations of individual investors' behavior from the predictions of neoclassical theory. As of now, the most important theories for decision making under risk are the (Cumulative) Prospect Theory and the Salience theory.

  • Portfolio insurance strategies under Cumulative Prospect Theory and Salience Theory
  • The salience effect on the stock market
  • Expected returns under Cumulative Prospect Theory
  • Skewness preferences and security prices
  • Bordalo, P., Gennaioli, N., and Shleifer, A. (2012): Salience theory of choice under risk. The Quarterly Journal of Economics, 127(3), 1243-1285.
  • Tversky, A. and Kahneman, D. (1992): Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and uncertainty, 5(4), 297-323.
  • Dichtl, H. and Dobritz, W. (2011): Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products. Journal of Banking & Finance, 35(7), 1683-1697.
  • Cosemans, M. and Frehen, R. (2017): Salience Theory and Stock Prices: Empirical Evidence. Working Paper.
  • Barberis, N. and Huang, M. (2008): Stocks as Lotteries: The Implications of Probability Weighting for Security Prices. American Economic Review, 95(5), 2066-2100.
  • Barberis, N., Mukherjee, A., and Wang, B. (2016): Prospect Theory and Stock Returns: An Empirical Test. Review of Financial Studies, 29(11), 3068-3107.

Kurzbeschreibung des Themenbereichs

Sustainability is progressively gaining prominence in investment considerations. Beyond purely financial factors, the inquiry emerges as to the impact of the environmental, social, and governance (ESG) dimensions on both corporations and investors, and how a company's ESG performance influences its returns.

Themenbeispiele

  • Construction and analysis of an ESG pricing factor
  • Estimation of the ex-ante Greenium by Implied Cost of Capital
  • Measurement of "Climate Change" and Analysis of the Risk Premium of Climate Change Betas or Climate Change Risks
  • Analysis of the Impact of Weather and Pollution on Stock Returns

Basisliteratur

  • Pástor, Ľ., Stambaugh, R., and Taylor, L.A. (2021): Sustainable investing in equilibrium.  Journal of Financial Economics,  142(2), 550-571.
  • Pástor, Ľ., Stambaugh, R. F., and Taylor, L. A. (2022): Dissecting green returns.  Journal of Financial Economics, 146(2), 403-424.
  • Ardia, D., Bluteau, K., Boudt, K., and Inghelbrecht, K. (2023): Climate change concerns and the performance of green vs. brown stocks. Management Science . 
  • Sautner, Z., Van Lent, L., Vilkov, G. and Zhang, R. (2023): Firm-Level Climate Change Exposure. The Journal of Finance, 78(3), 1449-1498.
  • Sautner, Z., Van Lent, L., Vilkov, G. and Zhang, R. (2023): Pricing Climate Change Exposure. Management Science.
  • Loughran, T. and Schultz, P. (2004): Weather, Stock Returns, and the Impact of Localized Trading Behavior. Journal of Financial and Quantitative Analysis,   39(2), 343-364.
  • Ding, X., Guo, M., and Yang, T. (2021): Air pollution, local bias, and stock returns. Finance Research Letters, 39, 1-6.
  • Hirshleifer, D. and Shumway, T. (2003): Good Day Sunshine: Stock Returns and the Weather. The Journal of Finance, 58(3), 1009-1032.

The literature provides numerous empirical studies that contradict the predictions of neoclassical theory. In addition to proving the existence and robustness of anomalies across markets and market regimes, examining different approaches to explain the anomalies are of particular interest and can be investigated in the context of your master thesis.

  • Out-of-sample tests of selected anomalies (e.g. momentum, idiosyncratic volatility, betting-against-beta, max effect)
  • Anomalies and multi-factor models
  • Interaction of anomalies (e.g. skewness and momentum)
  • Risk management strategies and anomalies
  • Ang, A., Hodrick, R.J., Xing, Y., and Zhang, X. (2006): The cross‐section of volatility and expected returns. Journal of Finance, 61(1), 259-299.
  • Jegadeesh, N. and Titman, S. (1993): Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance,  48(1), 65–91.
  • Frazzini, A. and Pedersen, L.H. (2014): Betting against beta. Journal of Financial Economics, 111(1), 1–25.
  • Bali, T.G., Cakici, N., and Whitelaw, R.F. (2011): Maxing out: Stocks as lotteries and the cross-section of expected returns. Journal of Financial Economics, 99(2), 427-446.
  • Hou, K., Mo, H., Xue C., and Zhang, L. (2019): Which Factors?. Review of Finance, 23(1), 1-35.
  • Barroso, P., Detzel, A.L., and Maio, P.F (2020): Managing the Risk of the Low-Risk anomaly. Working Paper.
  • Kelly, B. T., Pruitt, S., and Su, Y. (2019). Characteristics are covariances: A unified model of risk and return.  Journal of Financial Economics , 134(3): 501–524.

Although machine learning algorithms are becoming increasingly important, they have rarely been used in empirical capital market research. Thus, the comparison of new and established methods provides numerous research questions.

  • Empirical asset pricing and machine learning
  • Multi factor models and artificial neural networks
  • Hastie, T., Tibshirani, R., and Friedman, J. (2017): The Elements of Statistical Learning 2nd Edition. Springer Verlag.
  • Gu, S., Kelly, B., and Xiu, D. (2020): Empirical asset pricing via machine learning. The Review of Financial Studies, 33(5), 2223-2273.
  • Gu, S., Kelly, B., and Xiu, D. (2021): Autoencoder asset pricing models.  Journal of Econometrics, 222(1): 429–450.
  • Gareth, J., Witten, D., Hastie, T., and Tibshirani, R. (2017): An Introductoin to Statistical Learning: With Applicatoins in R. Springer Verlag, New York.
  • Hou, K. and Lee, J. (2018): Nonlinear CAPM Beta. Working Paper.
  • Dimson, E. (1979): Risk measurement when shares are subject to infrequent trading. Journal of Financial Economics, 7(2), 167-226.

Market prices of derivatives and, in particular, options provide rich information about market participants' expectations about the future. The elicitation of these expectations is possible via well-known option pricing models, such as Black & Scholes (1973), or numerous model-free approaches.

  • Estimation of risk-neutral moments from option prices
  • Option-implied risk preferences
  • Market indicators of volatility and skewness: VIX and SKEW
  • Risk premia for variance and skewness
  • Option pricing and estimation of the volatility surface using neural networks
  • Bakshi, G., Kapadia, N., and Madan, D. (2003): Stock Return Characteristics, Skew Laws, and the Differential Pricing of Individual Equity Options. Review of Financial Studies, 16(1), 101–143.
  • Breeden, D.T. and Litzenberger, R.H. (1978): Prices of State-contingent Claims Implicit in Option Prices. Journal of Business, 51(4), 621-651.
  • Jackwert, J. (2000): Recovering Risk Aversion from Option Prices and Realized Returns. The Review of Financial Studies, 13(2), 433-451.
  • Liu, Z. and Faff, R. (2017): Hitting SKEW for SIX. Economic Modelling, (64), 449-464.
  • Bollerslev, T., Tauchen, G., and Zhou, H. (2009): Expected Stock Returns and Variance Risk Premia. The Review of Financial Studies, 22(11), 4463-4492.
  • Carr, P. and Wu, L. (2009): Variance risk premiums. Review of Financial Studies, 22(3), 1311-1341.

Portfolio selection is one of the classic areas of research in finance. Results not only depend on investor preferences, but also on the data generating process and the investment horizon. While neoclassical models explore the optimal portfolio choice, it is equally important to apply behavioral analyses in order to understand why many people do not engange in the stock market and how investors make portfolio choices.

  • The optimal portfolio choice under ambiguity
  • The optimal portfolio choice with a long investment horizon and predictability
  • The influence of estimation risk on the optimal portfolio selection
  • Portfolio selection under behavioral decision theories
  • Participation in the stock market

Basisc literature

  • Garlappi, L., Uppal, R., and Wang, T. (2007): Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach.  The Review of Financial Studies, 20(1), 41-81.

DeMiguel, V., Garlappi, L., and Uppal, R. (2009): Optimal Versus Naive Diversification: How Inefficient is the 1/N Portfolio Strategy?.  The Review of Financial Studies, 22(5), 1915–1953.

  • Barberis, N. (2000): Investing for the Long Run when Returns Are Predictable.  The Journal of Finance, 55, 225-264.

Chapman, D.A. and Polkovnichenko, V. (2009): First‐Order Risk Aversion, Heterogeneity, and Asset Market Outcomes.  The Journal of Finance, 64, 1863-1887.

  • Grinblatt, M., Keloharju, M., and Linnainmaa, J. (2011): IQ and stock market participation.  The Journal of Finance, 66 (6), 2121-2164.
  • Kaustia, M. and Torstila, S. (2011): Stock market aversion? Political preferences and stock market participation.  Journal of Financial Economics, 100(1), 98-112.
  • Van Rooij, M., Lusardi, A., and Alessie, R. (2011): Financial literacy and stock market participation.  Journal of Financial Economics, 101(2), 449-472.
  • Brooks, C. (2019): Introductory Econometrics for Finance. Fourth edition. Cambridge, United Kingdom ; New York, NY, Cambridge University Press.
  • Malmendier, U. and Nagel, S. (2011): Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?.  The Quarterly Journal of Economics, 126(1), 373–416.

Although Modigliani and Miller (1958) document that - when assuming a perfect market - capital structure is irrelevant, there are numerous studies to show that this result does not hold empirically. More recent studies, such as Baker and Wurgler (2002), show that financing decisions (and thus capital structure), in particular, depend on market timing.

  • Empirical validation of theories on IPO underpricing
  • Long-term performance of IPOs
  • Market timing of financing decisions
  • Forecast of earnings and implied cost of capital

Ritter, J. R. (1991): The long‐run performance of initial public offerings.  The Journal of Finance,   46 (1), 3-27.

  • Loughran, T. and Ritter, J. R. (2002): Why don’t issuers get upset about leaving money on the table in IPOs?. The Review of Financial Studies,  15(2), 413-444.
  • Ritter, J. R. and Welch, I. (2002): A review of IPO activity, pricing, and allocations.  The Journal of Finance,  57(4), 1795-1828.
  • Green, T. C. and Hwang, B. H. (2012): Initial public offerings as lotteries: Skewness preference and first-day returns.  Management Science , 58(2), 432-444.
  • Laeven, L. and Levine, R. (2007): Is there a diversification discount in financial conglomerates?. Journal of Financial Economics,  85(2), 331-367.
  • Baker, M. and Wurgler, J. (2002): Market timing and capital structure.  The Journal of Finance,  57(1), 1-32.
  • Hou, K., Van Dijk, M. A., and Zhang, Y. (2012): The implied cost of capital: A new approach.  Journal of Accounting and Economics,  53(3), 504–526.

On the following pages you will find more information about the scientific work at the Institute for Banking and Finance. Please note the formal information and the dates for the introduction to scientific work.

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Information for mathematics students, application deadlines, formal requirements, theses archive.

Mathematics and Business Mathematics students can apply any time to be supervised in writing their Bachelor or Master Thesis by IFB via mail to IFB-Theses . Please enclose your CV and latest transcript of records.

Prerequisites

  • Successful participation in an advanced seminar qualifies for the acceptance of a Bachelor thesis (6 ECTS).
  • Students who have taken an advanced seminar in the field of finance (chairs of Elsas/Glaser/Richter/Riordan) will be accepted preferentially.
  • The requirements of the respective examination regulations apply.

Application

  • a letter of motivation in which you briefly, but as precisely as possible, outline your areas of interest. Please refrain from general statements as "I don't know any special field of interest". You can orientate yourself on the contents of your studies (lectures or advanced seminar) or be inspired by the theses already completed .
  • an exposé with a short outline (a few sentences) of your own proposed topic. Therein, address the question(s) to be investigated, the methods (data) and the relevant literature. This also applies to theses written in cooperation with a company.
  • Please send your complete application by email to the IFB: Theses .
  • We will inform you regarding acceptance or rejection of your application no later than 2 weeks after receipt of your application. In case of acceptance we will assign you a topic and a supervisor.
  • The thesis at the IFB can generally be started any time though the registration of theses usually starts at the beginning of the month. Please note the application deadlines .
  • The deadline is determined by the corresponding completion time (8 weeks for Bachelor's theses and 22 weeks for Master's theses).
  • Before the thesis is registered at the ISC, each student prepares an exposé (max. 2 pages). This is generally done after agreement on a topic. The exposé must be handed in to the respective supervisor at the latest one week after agreement on the topic. In consultation with the supervisor the draft is then revised and extended if necessary.
  • Upon agreement on the final topic, the thesis is registered at the examination office.
  • Theses can be written in English or German (English is preferred).
  • Please follow our formal requirements - if you have any questions, please consult your supervisor.
  • A thesis colloquium is held on the first Wednesday of each month. The colloquium takes place after about half of the processing time. Students present the status of their work for a maximum of 30 minutes, the presentation is held in English or German. During the colloquium, structure of the work and methodological approach are explained in particular. The subsequent discussion helps to identify problems in dealing with the topic and possible alternative solutions. The colloquium is rounded off by a short insight into the current state of work and possible open questions. Aim of the colloquium is to give constructive feedback - it is attended by the scientific staff and head of the institute.
  • Thesis submission is effected according to the ISC guidelines. Please inform your supervisor about the planned submission date.
  • For theses with a programming component, the student is required to submit data and codes to generate the results. The student is also responsible for ensuring that results can be replicated and reproduced by the supervisor.
  • Your supervisor will inform you as soon as the thesis has been evaluated.

Compliance with these guidelines (PDF, 136 KB) is generally mandatory and is intended to provide you with the necessary guidance to write a formally correct paper.

  • The Impact of Private Equity Ownership on Post-IPO Performance, Master Thesis
  • The impact of CSR on M&A uncertainty and premiums, Master Thesis
  • Are returns to value strategies predictable by their respective value spreads, Master Thesis
  • Can Twitter help predict firm-level earnings and stock returns, Master Thesis
  • On the pricing of European Dual Class Stocks, Master Thesis
  • The effect of corporate hybrid bonds issuance announcements on stock prices, Master Thesis
  • Performance of S&P 500 Index Additions, Bachelor Thesis
  • Hedge funds and their performance during the COVID-19 pandemic, Bachelor Thesis
  • Cryptocurrency price prediction using an LSTM and an ARMA model, Master Thesis
  • A literature review on bitcoin futures, Bachelor Thesis
  • The Effect of European Short Position Disclosure Requirement on Market Efficiency, Master Thesis
  • Earnings Forecasts by Analysts - Accuracy and Timing, Master Thesis
  • Text mining of corporate disclosures for stock index forecasting, Master Thesis
  • An empirical study of S&P 500 short term options, Bachelor Thesis
  • Examining Deterministic Volatility Functions on Short-Term Options, Master Thesis
  • Deep Learning and Option Pricing, Bachelor Thesis
  • An empirical analysis of financial advisors and M&A returns, Master Thesis
  • International Diversification and Market Capitalization, Bachelor Thesis
  • Identifying Financial Distress in Company Filings, Master Thesis
  • Investigating Capital Market Reactions to Corporate Events Using Machine Learning, Master Thesis
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  • A literature review on institutional investors and competition, Bachelor Thesis
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thesis in banking and finance

Banking and Finance

The Master’s thesis is an important part of your Master's Programme. The thesis is written individually and in English.

Below you can find information about the time schedule and deadlines, the regulations, the U.S.E. thesis award, and some tips.

Time schedule

Kick-off event for each master programme is organized, usually between 16 and 30 November, but deviations are possible. You will be informed about

  • Potential thesis topics
  • Potential supervisors and second readers
  • Guidelines in case you want to propose your own topic
  • Opportunities for a research internship in combination with your thesis

Matchmaking with your supervisor and the second reader takes place in December-January. The second reader will be involved in the process to (i) to grade and provide feedback on the research proposal and set up of the thesis, and (ii) read and independently grade the final manuscript. Grades for both will be based on the independent assessments of the supervisor and second reader; the supervisor consults with the second reader to establish a final grade that will be made available to the student.

Period 3 (5 EC)

Research proposal. At the end of period 3 you are supposed to have written a full research proposal. This implies you have done extensive literature research, addressed a research gap, drafted research questions, and develop a plan for empirical data analysis. You are usually also supposed to have collected the empirical  material for your thesis, or at minimum, developed a plan for data collection.

You present and/or discuss your draft research proposal with your supervisor and second reader.

Deadline to upload your research proposal via Osiris Case. The proposal will be graded (weight 10%). If you upload the research proposal too late, or not at all, the research proposal will be graded with a 1. When your progress is insufficient at this point, you will have to put in substantial extra effort in period 4 to be able to finish your thesis in time.

Deadline for supervisor (including consultation with second reader, resulting in the final grade) to finish the assessment in Osiris Case.

Period 4 (10 EC)

Develop and finalise thesis. You collect remaining data and literature, analyse data, and write your thesis.

June  17-21

You present and/or discuss your draft thesis in a meeting or final seminar organized by your supervisor and second reader, and receive final comments.

Deadline to upload the final version of your thesis in Osiris Case. The thesis will be graded (weight 90%).

Deadline for supervisor to finish the assessment (including consultation with second reader, resulting in the final grade) in Osiris Case.

Number of meetings

The thesis process has at least four compulsory meetings/deadlines:

  • April 8-11: discuss your draft research proposal and full literature review
  • April 12: hand in your final resarch proposal and full literature review online via Osiris Case. Specific instructions will be supplied on Blackboard. Concerning the literature review, consider coverage of at least 20 relevant academic papers as a reference point. However, your supervisor may set other expectations during the process.
  • June 17-21: present/discuss your draft thesis
  • June 28: hand in your final thesis online via Osiris Case (specific instructions will be supplied)

Theses need to be handed in via OSIRIS Student  (tab Cases > Thesis Assessment (U.S.E.)) to the thesis supervisor and second reader. The supervisor checks the thesis on plagiarism, grades it, and digitally fills in the two evaluation forms ( evaluation form 10% and evaluation form 90% ). You can check the evaluation forms in OSIRIS Student  (after your supervisor finalises the assessment and determined the grade in Osiris).

  • For your research proposal no retake is possible.

For your master thesis , a retake is possible. Conditions:

  • Your unrounded final score (10%*proposal + 90%*thesis) is less than 5.5, but at least 4.0.
  • Your supervisor will provide you with feedback/guidance of what to improve, but only once. Afterwards no additional feedback or guidance can be claimed from the supervisor (holiday season).
  • You can resubmit your master thesis only once.
  • The deadline to upload your revised thesis is August 4, after which the grade will be handed in by the supervisor at the latest by August 18.
  • The rounded final grade for the thesis cannot be higher than a 6; this is only to be fair to students finishing in shorter time.

In case you do not succeed in finishing your thesis with a passing grade in semester 2, including the retake opportunity, you can consult the study advisor and submit a request to redo the thesis with a new topic and supervisor in period 1+2 of the next academic year if you think the following requirements apply:

  • You have worked on the thesis in the regular period, but did not receive a passing grade.
  • You have put in enough effort. The thesis evaluation form, including the written feedback by your supervisor, serves as the basis for this and your thesis grade is at least 4.
  • You have finished all other courses of your master programme.

The request needs to be made ultimately on September 15 (or when this is a Saturday or Sunday, the Friday before September 15). The study advisor will contact the Board of Examiners (BoE). The BoE takes the final decision.

If your unrounded final grade is less than 4.0, no retake is possible. You will have to enroll again, and start with a new topic and supervisor in November 2024. Thus, you will then develop a new thesis in period 3 and 4 of the academic year 2024/25. 

In some circumstances the July deadline may be extended. See ‘Regulations’ (hereafter).

U.S.E. thesis regulations Academic Masters 2022-2023

  • All theses must be written and finished within semester 2.
  • All theses will be checked on plagiarism.
  • In agreement with the second supervisor, the thesis supervisor will determine the final grade and fill in the Thesis Evaluation Form, which is then presented to you.
  • The supervisor grades the thesis within 10 working days from receiving the material, and makes sure the results are processed administratively. Deadline to hand in final versions of the thesis to the supervisor and co-reader is June 30th . Deadline for supervisor to hand in the thesis grade is July 14th .
  • In case of special personal circumstances, the Board of Examiners may grant a postponement of the deadline, following consultation with the MSc coordinator.
  • When you have stopped working on your thesis during semester 2 for other reasons than special personal circumstances, or do not hand in your thesis on time, or when you receive an insufficient grade, you will have to start again in the next academic year (at the kick-off event in November), with a new thesis subject and new supervisor, unless the requirements mentioned under 10 apply.
  • You can resubmit your master thesis only once .
  • The deadline to hand in your revised thesis is August 9th, after which the grade will be handed in by the supervisor at the latest by August 18th .
  • If your unrounded final grade is less than 4.0, no retake is possible. You will have to subscribe again, and start with a new topic and supervisor in November 2023 . Thus, you will then develop a new thesis in period 3 and 4 of the academic year 2023/24 .
  • You have put in enough effort . The thesis evaluation form, including the written feedback by your supervisor, serves as the basis for this and your thesis grade is at least 4.
  • The request needs to be made ultimately on September 15 (or when this is a Saturday or Sunday, the Friday before September 15 ). The study advisor will contact the Board of Examiners (BoE). The BoE takes the final decision.
  • In addition to the cum laude classification in art. 6.2 of the Education and Examination Regulations: if you do an external research in combination with your thesis and this prevents you to graduate in one year, and as a consequence you do not qualify for a cum laude graduation, the Board of Examiners may apply a special (leniency) regulation.

Publish your thesis

It is not mandatory, but we recommend you submit your thesis to the Students Theses Archive .

Thesis award

U.S.E. Master’s Thesis Award

Each year, Utrecht University School of Economics (U.S.E.) chooses the top Master's theses from each of the 1-year MSc programmes. These theses are recognised with the  U.S.E. Master's Thesis Award . The winning theses need to be written and completed in semester 2 and are chosen for their relevance, academic merit, and particularly for their integration of a ‘real world perspective’ into an economics issue. Furthermore, the submitted thesis must have received a mark of at least an 8.5. Out of these ‘best-in-programme’ theses, the one thesis that stands out most receives additional accolades. The authors of the winning theses are awarded with a certificate during the Master’s Graduation ceremony.

UU Best Master’s Thesis

Utrecht University awards a prize for the best Master's thesis written at the University. It is awarded every year during the opening of the new academic year. The winner will receive an award which consists of a certificate and €1,500. Nominees need to meet certain criteria. The submitted graduate thesis or research must have received a mark of at least an 8.5 for instance. U.S.E. strives to select and submit one candidate each year. More information can be found on the university website .

Tips and tricks

Tips and tricks about academic research, writing skills, etcetera you can find in the Thesis Manual and Toolbox (this is not available yet)

For workshops, courses and individual writing tutoring see the Skills lab  and Libguide for an overview on much consulted information sources Economics

Research Data Management

When you write a thesis, you are dealing with Research Data Management: processing data and possibly also personal data, for example when you conduct interviews. In the latter case, you are then dealing with the General Data Protection Regulation (GDPR). You also need to secure your data properly at all times. It is therefore important that you know what you have to comply with in terms of legislation and university frameworks. Please figure this out before you start writing your thesis. Your thesis supervisor can help you with this, ask for the guidelines. More information can be found on the following websites:

  • https://www.uu.nl/en/research/research-data-management
  • https://www.uu.nl/en/research/research-data-management/guides/handling-personal-data

Subscriptions to databases

U.S.E. has acquired subscriptions to

  • Wharton Research Data Services (WRDS), 
  • Mergent FISD,
  • Refitiviv Eikon and Datastream

Compustat covers financial information and executive compensation data for publicly listed companies in the United States. WRDS provides access to Compustat and other free databases using a Web interface, SAS, Matlab, Python and R. Furthermore, WRDS offers a cloud environment with a SAS 9.4 installation. WRDS and Compustat can be accessed through the Wharton website and are available to all U.S.E. staff and students. Bank Focus is accessible through Bureau van Dijk .

See also the UU Library Search Engine ; and select 'Economie'.

Follow Utrecht University

Utrecht University Heidelberglaan 8 3584 CS Utrecht The Netherlands Tel. +31 (0)30 253 35 50

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Tesla Stock Slides as Deutsche Bank Downgrades on 'Thesis-Changing' Robotaxi Pivot

Colin is an Associate Editor focused on tech and financial news. He has more than three years of experience editing, proofreading, and fact-checking content on current financial events and politics. He received his M.A. in journalism from The New School and his B.A. in history and political science from McGill University.

thesis in banking and finance

David Paul Morris / Bloomberg via Getty Images

Key Takeaways

  • Shares of Tesla slid to their lowest level in more than a year on Thursday after Deutsche Bank analysts downgraded the stock and lowered their price target by 35%, citing its "thesis-changing" pivot to robotaxis.
  • The company has reportedly put plans for a low-cost, mass-market model on the back burner to focus on developing a fleet of self-driving taxis.
  • Tesla has struggled to compete with Chinese rivals and maintain growth amid soaring costs and sluggish demand for electric vehicles (EVs).

Tesla ( TSLA ) shares slid to their lowest level in more than a year Thursday after Deutsche Bank analysts downgraded the electric vehicle (EV) maker's stock, citing uncertainty around its plans to refocus its growth efforts on autonomous vehicles.

Deutsche Bank analysts led by Emmanuel Rosner downgraded Tesla to “hold” from “buy” on Thursday and lowered their price target by 35%, to $123 from $189.

“Our longer-term Buy rating was predicated on the next-gen vehicle priced at $25k coming late next year, which would allow the company to reaccelerate volume, margins and [free cash flow], and potentially come to dominate the Western EV market,” Deutsche Bank analysts wrote on Thursday.

Whether that low-cost Tesla model, sometimes called the Model 2, is being made at all was called into question earlier this month when Reuters reported the EV maker had canceled its plans to release a low-cost, mass-market model. Tesla will instead focus on self-driving robotaxis, according to Reuters , which cited “three sources familiar with the matter and company messages” reviewed by the outlet.

Tesla Chief Executive Officer (CEO ) Elon Musk quickly took to his social media platform X to deny the report . That denial was followed up by an announcement later in the day that the company would unveil its robotaxi on Aug. 8.

The analysts noted that, while a Tesla-owned and operated fleet of robotaxis could more than make up for the profit lost by delaying or canceling its low-cost model, the plan poses significant technological and regulatory challenges. Plus, “a pushout of Model 2 efforts creates the risk of no new vehicle in Tesla’s consumer lineup for the foreseeable future, which would put continued downward pressure on its volume and pricing for many more years, and likely require material downward earnings and FCF estimate revisions for 2026+.” 

Tesla has struggled to compete with Chinese rivals and maintain growth amid rising costs and sluggish EV demand, which has taken a hit from high interest rates. Earlier this month the company reported its first year-over-year decline in quarterly deliveries since 2020.

The company said in an internal memo earlier this week that it would lay off "more than 10%" of its global workforce, a decision Deutsche Bank analysts speculate could be connected to the delayed or canceled Model 2.

Tesla shares were down 3.6% to $149.81 as of 1:55 p.m. ET Thursday. They have lost nearly 40% of their value in 2024.

Deutsche Bank Research. “Tesla Inc: D/G to Hold - Considerable risk from ‘going balls to the wall for autonomy.’” 

Reuters. “ Exclusive: Tesla scraps low-cost car plans amid fierce Chinese EV competition .”

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Tesla bull warns ditching plans for ‘crucial’ cheaper car would be ‘thesis-changing’

Elon Musk

A prominent Tesla Inc. investor on Wall Street warns his bullish case would be in jeopardy should Elon Musk abandon the long-held bid to bring a low-cost vehicle to the masses.

As the electric-vehicle maker’s outlook comes into question — pushing its market valuation below $500 billion this week, a level last seen more than a year ago — David Baron is dispirited by recent reports that Tesla could ditch its goal to bring an affordable car and shift resources to developing a robotaxi instead. 

While that’s far from his base case, and Musk denied a Reuters article that first reported the news, the fund manager warns any reversal in the company’s plan would threaten his eye-catching calls on the stock, without fresh sources of growth. The investor expects the shares to jump to $1,200 over time, an over 680% gain from Wednesday’s close.

“The Model 2 is a crucial piece of our thesis. If they stopped that, that is investment thesis-changing,” Baron, a portfolio manager at Baron Capital Inc. and son of Wall Street veteran Ron Baron, said in an interview.

Tesla shares were down as much as 4.3% to $148.70 on Thursday in New York, wiping out their gains from the past 12 months. Traders have been watching the $150 level closely as key support for the stock.

Baron, who oversees the $1.4 billion Baron Focused Growth Fund, said he will be “very surprised” if Tesla’s Model 2 is taken off the table and said growth will accelerate with the new car. Yet his words underscore growing disquiet among investors who are banking on the production of the mass-market vehicle.

Deutsche Bank AG on Thursday downgraded Tesla’s stock to hold amid chances that the company might delay plans to produce its Model 2. A Barclays Plc analyst a day earlier said Tesla’s first-quarter earnings call is “extra highly anticipated” and expects it to be a negative catalyst for the stock.

“This strategy pivot is a clear net-negative for the Tesla investment thesis, as it casts significant uncertainty on the path ahead for Tesla, making success of the stock dependent on bets with seemingly binary outcomes,” Barclays analyst Dan Levy wrote in a note to clients. Levy also thinks that the Model 2 “is not dead — but rather is being delayed, as Tesla instead focuses on robotaxi/full self driving.”

The company has yet to clarify its plans for the affordable model. While Musk broadly denied the Reuters report, he appeared to confirm a piece of the article that same day when he announced plans to unveil a robotaxi in August. A representative for Tesla didn’t respond to a request for comment.

Baron’s growth fund lists Tesla as its second-largest holding, comprising nearly 8% of the portfolio as of March 31, following Musk’s closely held SpaceX, according to a fact sheet . Tesla’s stock — down almost 40% for the year — is the fund’s worst performer, fueling an almost 4% drop since the beginning of the year. That’s compared to a 0.3% downturn in its benchmark, the Russell 2500 Growth Index, and the S&P 500’s 5% gain.

Despite fundamental questions over demand ahead, Baron remains bullish about Tesla’s prospects. While his fund cannot buy any more Tesla shares since it has reached its allocation limit, Baron isn’t selling either — at least not at current levels.

“There’s too much growth potential in the company,” he said. “The full self-driving is too big a recurring revenue and earnings opportunity to not invest in right now.”

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    Essays in Banking and Corporate Finance Abstract This dissertation studies the role of different types of frictions in preventing optimal resource allocation in the economy. In chapter 1, I focus on financial frictions and consider the distorted incentives of banks to lend to zombie firms. I show that bank supervision, in

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    The following dissertation topics for banking will assist students in achieving the highest possible grades in their dissertation on banking finance: List of Banking and Finance Dissertation Topics. A Comprehensive Analysis of the Economic Crisis as It Relates to Banking and Finance; A Critical Review of Standard Deviation in Business

  3. [PDF] Master Thesis in Banking and Finance

    Cautious Resilience: The Impact of the Global Financial Crisis on Latin American and Caribbean Microfinance Institutions. Funded by MIF, CAF and Calmeadow, this MicroRate report provides a snapshot of how the impact of the global financial crisis evolved during the last quarter of 2008. The study combines data and….

  4. 120+ Research Topics In Finance (+ Free Webinar)

    If you're just starting out exploring potential research topics for your finance-related dissertation, thesis or research project, you've come to the right place. ... Investment Banking. The list below presents a series of research topics exploring the multifaceted dimensions of investment banking, with a particular focus on its evolution ...

  5. PDF Peng, Hao (2020) Shadow banking and corporate finance. PhD thesis

    Shadow Banking and Corporate Finance . Abstract . This thesis examines how shadow banking activities affect firms' behaviors. We focus on two important representatives of shadow banking activities: wealth management products issued by commercial banks and finance companies affiliated in business groups in China.

  6. Finance Graduate Theses and Dissertations

    Theses/Dissertations from 2014. Essays on Moral Hazard, Bank Size, Influence, and Risk at the Federal Home Loan Banks, James Cash Acrey. Financial Crisis and the Supply of Corporate Credit, Jorge Santiago Emmanuel Barraza. Incentives and Firm Behaviors, Thu Hien Thi Nguyen.

  7. Finance Theses and Dissertations

    Theses/Dissertations from 2014. PDF. Essays on Corporate Finance, Hari Prasad Adhikari. PDF. Two Essays on Individuals, Information, and Asset Prices, Joseph Mohr. PDF. Two Essays on Investment, Bin Wang. PDF. Two Essays on Corporate Finance, Qiancheng Zheng.

  8. PDF Essays in Banking and Corporate Finance

    Essays in Banking and Corporate Finance by Jason D. Kotter Co-Chairs: Associate Professor Amy Dittmar and Professor E. Han Kim This dissertation consists of three essays in banking and corporate finance. The first essay examines how changes in the composition of the human capital of the workforce impact the CEO.

  9. PDF Corporate Governance in the Banking and Finance Sector

    Corporate Governance in the Banking and Finance Sector A Dissertation submitted to the School of Legal Studies University of Wolverhampton in fulfilment of the requirements for the degree of Doctor of Philosophy PhD in Laws By CHUNG Chun Pong, Thomas LL.B (University of Wolverhampton)

  10. Dissertation Topics in Finance

    This blog has included the best dissertation topic in finance in MBA, accounting, and banking you can choose while writing a dissertation. Final Consideration and Conclusion Finance research papers and dissertations should be prepared in a way that answers the core question while also being relevant to the remainder of the study.

  11. Thesis titles

    * judged "particularly relevant" in the contest of the prestigious Bank of Italy Prize "Giorgio Mortara", for the best thesis of the year 2012 Capo Mariangela , Managing risk exposures using the risk budgeting approach: the equal risk contribution portfolio construction and analysis, Advisor: Prof. Ugo Pomante

  12. Essays in banking and finance

    Description This dissertation includes three essays. The first essay identifies the determinants of bank's risk contribution to systemic risk, and documents that banks with higher non-interest income (noncore activities like investment banking, venture capital and trading activities) have a higher contribution to systemic risk than traditional banking (deposit taking and lending).

  13. Theses

    As guidance to help you estimate the length of a thesis, we provide you with two sample theses: Bachelor's thesis: The different theories of the 2010 Flash Crash with main focus on high-frequency trading (PDF, 1 MB) Master's thesis: Strategic Allocation to Return Factors (PDF, 1 MB) Additionally you can find a template for LaTeX (ZIP, 414 KB).

  14. GRADUATION THESIS Major: International Banking and Finance IMPACT OF

    GRADUATION THESIS Major: International Banking and Finance IMPACT OF CASH FLOWS ON COMPANY PROFITABILITY: A CASE OF VIETNAM'S STOCK MARKET July 2021 DOI: 10.6084/m9.figshare.16356567.v1

  15. Banking and Finance Dissertation Topics (28 Examples) For Research

    Studying the impact of risk management on the profitability of banks. Evaluation of bank lending and credit management. Role of automated teller machine on customer satisfaction and retention. Examining the impact of bank consolidation on operational efficiency. Competitive strategies and changes in the banking industry.

  16. 200 World-Class Finance Dissertation Topics in 2023

    The topics range from the stock market, banking, and risk management to healthcare finance topics. This dissertation provides the student with a degree of academic self-confidence and personal satisfaction in the finance field. Finance writing requires extensive research to create a persuasive paper in the end.

  17. 38 Banking and Finance Dissertation Topics Ideas

    Research topics in banking and finance have been collected together and presented in the form of an extensive list as below: Implementing blockchain applications in the field of banking and finance: a descriptive approach. Banking and finance post-COVID-19 pandemic: a review of the literature. Studying the effects of monetary policy on banking ...

  18. Master Thesis in Banking and Finance

    Interest rate is a controversial topic in microfinance. At first glance, interest rates charged by some MFIs seem to be a usurious burden on the micro-entrepreneur poor. For example, in Asian MFIs, interest rates range from 30% to 70% annually (on a reducing balance basis) in addition to other commissions and fees.

  19. Theses

    Theses. We appreciate that you are interested in writing a thesis at the Institute of Banking and Finance. The following sections provide information on potential areas for both Bachelor and Master theses. When conducting your thesis, you will have to critically review the relevant literature and to carry out your own quantitative analysis.

  20. PDF ARTIFICIAL INTELLIGENCE IN FINANCE

    and mark banking and finance activities, such as uncommon use of debit cards and big account deposits, all of which assist a bank's fraud unit. Applications of AI are also used to simplify and facilitate trading. This is achieved by facilitating the estimation of production, request and price of stocks. (Investopedia 2019.)

  21. Theses

    Anomaly Detection in Finance, Master Thesis; 2020. A Machine Learning Approach to Risk Factors Applying the Fama-French-Carhart Model: A Case Study on the German Stock Market, Master Thesis ... Bachelor Thesis; Banking competition, venture capitalists and their influence on entrepreneurial activity, Master Thesis;

  22. Thesis

    U.S.E. Master's Thesis Award. Each year, Utrecht University School of Economics (U.S.E.) chooses the top Master's theses from each of the 1-year MSc programmes. These theses are recognised with the U.S.E. Master's Thesis Award. The winning theses need to be written and completed in semester 2 and are chosen for their relevance, academic merit ...

  23. PDF Sample Study Outline Finance & Banking

    Finance & Banking. - 84 UOC: Co-op Specialisation major - 48 UOC disciplinary courses plus 36 UOC Industry Training. Must contain at least 18 UOC at level 3. Completion of Industry Placement 3 will also meet Final Year Synthesis program requirements for BCom. - 48 UOC: Free Electives - maximum number of "any course".

  24. Tesla Stock Slides as Deutsche Bank Downgrades on 'Thesis-Changing

    Shares of Tesla slid to their lowest level in more than a year on Thursday after Deutsche Bank analysts downgraded the stock and lowered their price target by 35%, citing its "thesis-changing ...

  25. Bank of America: Why I Am Going All-In Now (Technical Analysis)

    Earnings And Revenues (Yahoo Finance) Favorable Economic Backdrop For Bank of America. ... The investment thesis might be challenged by the central bank's changing rate trajectory. Moderating ...

  26. Wall Street is souring on Tesla's pivot away from low-cost vehicles

    Deutsche Bank downgrades Tesla. Deutsche Bank analyst Emmanuel Rosner is not impressed with the potential pivot, calling it "thesis-changing" for investors in a note on Thursday. Rosner downgraded Tesla stock to "Hold" from "Buy" and cut its price target to $123 from $189, suggesting potential downside of about 19% from current levels.

  27. Tesla dropping Model 2 plans would be 'thesis-changing' warns longtime

    The investor expects the shares to jump to $1,200 over time, an over 680% gain from Wednesday's close. "The Model 2 is a crucial piece of our thesis. If they stopped that, that is investment ...

  28. Bank of England Official says UK on Cusp of Payments Revolution

    April 15, 2024 at 5:13 AM PDT. Listen. 2:05. Bank of England Deputy Governor Sarah Breeden said the UK is on the cusp of a technological revolution in finance that will slash the cost of using ...

  29. Exclusive: Vietnam mounts 'unprecedented' $24 billion rescue for bank

    Vietnam has mounted an "unprecedented" rescue of Saigon Joint Stock Commercial Bank (SCB), a lender engulfed in the nation's biggest financial fraud, according to three bank documents and new ...