Language of the course: English
Language of the course: German
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.
Students interested in this seminar are required to submit an application. In case the number of students til 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
Academic papers and lecture notes
StO/PO BA BWL und VWL 2016: 6 LP, Modul: "Empirical Research in Finance"
Term paper
Die Veranstaltung wurde 5 mal im Vorlesungsverzeichnis WiSe 2024/25 gefunden:
