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Master Thesis HWS 2023

General Information

The Chair of Finance (Prof. Dr. Erik Theissen) supervises master theses in every semester. The allocation of master theses takes place in coordination with the chairs of Prof. Maug, Prof. Niessen-Ruenzi, Prof. Ruenzi, and Prof. Spalt.

You must have successfully completed a seminar with one of the chairs of the Finance Area (FIN 7XX) in order to participate. As most topics require to work empirically, some knowledge of statistics and econometrics is useful and participants should be motivated to undertake empirical work. You should write your thesis in English.


Time Schedule

DateEventAdditional Information
05.09.2023Topics Announcement

Topics will be uploaded to the individual websites of the participating chairs. You can find the topics of our chair below.

Please feel free to contact us if you have questions. If your questions relate to a specific topic please contact the supervisor of the topic directly.

07.09.2023 – 15.09.2023

Online Application

Students should submit an online application form indicating their preferences. The link for the Ilias group will be provided on the website of the Finance Area.

19.09.2023

Topics Allocation Announcement

The allocation of topics will be published on the website of the Finance Area.

19.09.2023 – 25.09.2023

Registration Period

Ask your advisor to register your thesis at the student services office within this period.

25.09.2023

Starting Date

Formal starting date of the writing phase.

24.11.2023

Colloquium

You will present preliminary results of your thesis and get feedback to your progress.

25.01.2024

Submission Deadline

Last day to hand in your thesis.

 

Topics

Topic Name
T1.  The Value of the Voting Right
T2. Market Underreaction and Earnings Announcements: What Explains the Post-earnings-announcement Drift?
T3. Algorithmic Trading Around Earnings Announcements
T4. Political Risk and Stock Return
T5. Disagreement of Inside Investors and Stock Market Reaction
T6. Salience Effect Across the Business Cycle
T7. IPOs and Characteristic Based Benchmark Returns
T8. Privacy Coins
T9. Long Run Stock Returns After Corporate Events

The presentation of the master thesis topics can be found here

Please feel free to contact us if you have questions. If your questions relate to a specific topic please contact the supervisor of the topic directly.

 

Previous Topics

Topic Name
T1. Beta Estimation and Return Prediction
T2. Momentum and 52-Week High
T3. Impact of Biological Factors on Stock Market
T4. Cybersecurity Risk
T5. Is Dividend Juicing A Problem for Passive Funds?
T6. Cosmetic Fund Names: the Case of Mutual Fund Name Changes and Mutual Fund Initiations
T7. Salience Effect on Investor Behavior
T8. Credit rating changes and the impact on financial market
T9. Commonality across Time Zones

 

Further Information

  • Stata Tutorial

    For participants in a seminar and master or diploma students writing an empirical thesis at a chair of the Area of Finance (not only the Chair of Finance), a course on empirical work with Stata and the databases of the University of Mannheim (e.g. CRSP ot Compustat) will be offered at the beginning of each semester. The name of the course is FIN 604 – Stata in Finance.

    This course is no mandatory prerequisite for writing a seminar, master or diploma thesis and are solely offered to help students prepare efficiently for empirical scientific work.