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Financial Econometrics

Due to the corona pandemic, the teaching of this course for the Winter Semester 2020/21 will begin on November 2, 2020 and it will be offered exclusively in digital form, i.e. the lectures and the exercise sessions will be recorded and uploaded on ILIAS. 


Registration for the lecture

Students have to sign in for this course in HISinOne. The registration in ILIAS will be carried out automatically.

Registration for the exam

Please note that the registration for the lecture does not automatically mean that you are registered for the exam! A separate registration for the exam is mandatory!
You can find the current examination dates as well as further information on the registration for the examination as well as the deadlines for registration and deregistration of the examinations on the homepage of the
examination office.

ILIAS

In ILIAS, the course can be accessed without a password until November 9, 2020, 08:59 am. Starting with November 9, 2020, 9:00 am, a password will be required in order to access the course material, the recorded videos of lectures and exercises sessions as well as the updates and relevant information in ILIAS. The password will be sent to all registered students via ILIAS on November 9, 2020 at 9:00 am.

Instructors Dr. Ekaterina Kazak (University of Manchester, U.K.) will give one guest lecture and one tutorial on the topic Portfolio Analysis

Language

English

Credits

6 ECTS

Requirements

Statistics, Mathematics, Econometrics, Time Series Analysis, Principles of Finance

Qualification Target

This course aims at endowing students with the necessary econometric knowledge and tools for undergoing empirical research on financial data.

Contents

 

The course covers the fundamentals of financial econometrics and empirical finance with emphasis on both theoretical foundations and empirical applications. The course aims at sharpening students’ view on the limitations of the theoretical models and their empirical applications as well as at equipping students with a profound knowledge of financial data handling and programming skills in Python.

The main topics covered are:

  1. Empirical Properties of Financial Data
  2. Univariate GARCH Models
  3. Univariate Stochastic Volatility Models
  4. Application: Value at Risk and Expected Shortfall
  5. Multivariate GARCH Models
  6. Application: Portfolio Analysis
  7. High-Frequency Finance
  8. Realized (Co)variance Models
Main References
  • Campbell, J. Y., A. W. Lo and A. C. MacKinlay (1997): The Econometrics of Financial Markets, Princeton University Press. eBook
  • Francq, C. and Zakoian J. M. (2011): GARCH Models: Structure, Statistical Inference and Financial Applications, Wiley.com. eBook
  • Franses & van Dijk (2000): Nonlinear Time Series Models in Empirical Finance, Cambridge University Press Cambridge. eBook
  • Gourieroux C. and J. Jasiak (2001): Financial Econometrics, Princeton University Press. eBook
  • Hayashi, F. (2002): Econometrics, Princeton University Press.
    Available at the Library of the Economics Department and the University Library.
  • McNeil, A. J., R. Frey and P. Embrechts (2005 or 2015): Quantitative Risk Management: Concepts, Techniques and Tools, Princeton University Press. Available at the Library of the Economics Department and the University Library.
  • Tsay, R. S. (2010): Analysis of Financial Time Series, 3rd ed., John Wiley & Sons. eBook
  • Andersen T., Davis R., Kreiß J. and Mikosch T. (2009): Handbook of Financial Time Series, Springer. eBook
     

VPN access is required for the eBooks.

Exam

Please do not forget to bring with you to the exam your student ID and your ID card.
In the exam you are allowed to take with you a non-programmable pocket calculator and a hardcopy of a German−English dictionary book as well as one A4 hand-written cheat sheet (one side only!).

Grading

100% final exam (90 minutes)

Target Group

The course can be chosen as an elective 6 ECTS course in:

  • M.Sc. BWL (Volkswirtschaftslehre / Quantitative Methoden/Wirtschaftsinformatik)
  • M.Sc. VWL (Accounting, Finance and Taxation / Business Analytics / Constitutional Economics and Competition Policy / Empirical Economics / Network Economics and IT Risk Management)
  • M.Sc. in Economics (Finance / Information Systems and Network Economics)
   

 

Benutzerspezifische Werkzeuge