BFC-M-10: Empirical Data Analysis in Finance

Winter Term 2024/2025

Course Description

This course examines mathematical and statistical principles and techniques for implementing empirical analyses of financial data. Topics of study to be taught include: financial data and descriptive statistics; normal distribution and sampling distributions; confidence interval estimation and hypothesis testing; proportions and means testing in financial data; design of experiments and ANOVA; correlation analysis and scatter plots; simple and multiple linear regression; time series and panel data analysis; asset pricing models (CAPM and Fama-French); event studies in finance.

Course and exam language: English

The Module in the Study Program

  • Module: BFC-M-10
  • Course level: Master
  • Recommended semester: 3-4
  • ECTS-Credits: 6
  • For information on the status of the course in the study program, please refer to the website of the examining board ("Prüfungsausschuss")

Bibliography & Course Material

The corresponding bibliography and further information on the course can be found in the course catalogue ("Modulhandbuch", German only).

Course material as well as organisational details will be provided on the Virtual Campus.

Registration & Scheduling

Registration and deregistration for the exam ("Prüfung") is possible under "BFC-M-10: Empirical Data Analysis in Finance" through FlexNow till 20 October 2024 (23.59 h) included.

In the case of any registration problems, please contact bwl-bfc(at)uni-bamberg.de before the deadline.

For information on deadlines, please refer to FlexNow!, UnivIS, and the Virtual Campus (after the start of the course).

Übungen

BFC-M-10: Empirical Data Analysis in Finance, Übung
2 SWS
Thomas Schmidl

Seminare

BFC-M-10: Empirical Data Analysis in Finance
2 SWS
Yana Sokolova