| Kommentar |
Group 1, Beatriz Mariano: This course introduces students to the major issues faced by anyone undertaking empirical or applied work in finance. We will review some of the main econometric techniques such as regression analysis, time series models and panel data estimation, as well as cover the Fama-French 3-factor model, and event studies. The last part of the course introduces students to the most common financial databases and enables them to develop essential database management skills. Finance-related applications are implemented using STATA and R. This course is useful to any student interested in using empirical methods to address real-world questions, and it also lays a foundation for writing a bachelor thesis in finance. Part of the seminar is an ungraded presentation. Moodle: https://moodle.hu-berlin.de/course/view.php?id=136961
Group 2, Christoph Scheuch: This seminar equips students with the core tools and techniques of empirical research in finance. Students will first learn the principles of a reproducible research workflow (incl. structuring project, tidy data, tidy coding, literate programming). Using either R or Python, they will then apply these skills to explore and present foundational topics in financial economics (e.g., CAPM, Modern Portfolio Theory, time-varying risk factors, portfolio sorts, non-standard errors, Fama-French factors, Fama-MacBeth regressions). Course evaluation is based on an in-class presentation (ungraded) and the submission of a fully reproducible slide deck. By combining methodological training with hands-on applications, the seminar provides a solid foundation for empirical working both academia and industry, as well as for writing a bachelor's thesis in finance.
Students interested in this seminar are required to submit an application. In case the number of students until the deadline for applications exceeds the maximum number, then selection takes place using a lottery as specified by HU regulations.
Only students who can not participate in the seminar due to the lottery procedure will receive a cancellation email before the start of term.
To apply, please submit your application form (https://www.wiwi.hu-berlin.de/en/professuren/bwl/finance/study/application) to: finance-group@hu-berlin.de. Deadline for applications: 30.09. (Winter semester) and 31.03. (Summer semester).
Prerequisites: Grundlagen der Finanzwirtschaft 1, Grundlagen der Finanzwirtschaft 2
Participants: max. 20 per group |
| Literatur |
Group 1 (B. Mariano): Academic papers and lecture notes
Group 2 (C. Scheuch): Scheuch, C., Voigt, S., & Weiss, P. (2023). Tidy Finance with R (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b23237.
Scheuch, C., Voigt, S., Weiss, P., & Frey, C. (2024). Tidy Finance with Python (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781032684307. |
