Financial Econometrics


This course is designed as an introduction to empirical finance. The focus is on the analysis of financial data as well as on applications of econometric methods to portfolio management, risk management and forecasting.

The detailed study of all fields of financial econometrics is clearly not feasible within this course. Therefore we have chosen a selection of topics which we believe delivers a sound basis for

  • Risk measurement and forecasting,
  • Portfolio analysis,
  • High-frequency finance,
  • Systemic Risk

The main aims of this course can be summarized as follows:

1. to spark interest in the field by stressing the most important empirical and practical implications of financial econometrics which can lead to a more specific research;

2. to endow the participants with an econometric toolbox for the analysis of financial data;

3. to equip the participants with a profound knowledge of data handling and programming skills in MATLAB.


    • Basic knowledge of Time Series Analysis

Introductory Literature

Campbell, J. Y., A. W. Lo and A. C. MacKinlay (1997): The Econometrics of Financial Markets, Princeton University Press.

Francq, C. and Zakoian J.M. (2011): GARCH models: structure, statistical inference and financial applications, Wiley. com
Gourieroux C. and J. Jasiak (2001): Financial Econometrics, Princeton University Press.

Hayashi, F. (2002): Econometrics, Princeton University Press.

McNeil, A.J., R. Frey and P. Embrechts: Quantitative Risk Management: Concepts, Techniques and Tools, Princeton University Press.

Tsay, R. S. (2005). Analysis of financial time series (Vol. 543). John Wiley & Sons.

Form of Assessment

Grading is based on the Final Exam (70%) and one Take Home Exam (30%).


LecturesFriday10:00 - 11:30G 309R. Halbleib
TutorialsWednesday15:15 - 16:45CIP Pool BS 217E. Kazak

Note that the first introductory tutorial takes place on October 25th

Course Materials

The course material will be provided via ILIAS.