Statistics of Financial Markets II

Instructor: 
Time I: 
Monday,
04:00pm to 06:00pm
Venue I: 
SPA1, room 23
Description: 

Please register in the respective Moodle course, see http://lvb.wiwi.hu-berlin.de/Teaching_Moodle

In the second part (Statistics of Financial Markets II), the course focuses on quantitative methods in risk management such as Value at Risk (VaR) and backtesting. The implications of the current Basel II directive to the risk management of the financial institution are discussed. The students will be equipped with the knowledge of the standard time-series models ARMA, unit-root tests, ARCH and GARCH models that are essential for understanding the standard risk-management models e.g. Risk Metrics methodology. The advanced statistical methods based on the Copulae dependence concept, Extreme Values, Neural Networks as well nonparametric and adaptive methods are introduced and applied to the risk management problems.

Literature:
Franke, J., Härdle, W., and Hafner, C. (2011) Statistics of Financial Markets: an Introduction. 3rd ed., Springer Verlag, Heidelberg. ISBN: 978-3-642-16520-7 (599 p)
Härdle, W., Hautsch, N. and Overbeck, L. (2009) Applied Quantitative Finance. 2nd extended ed., Springer Verlag, Heidelberg. ISBN 978-3-540-69177-8 (448 p)
Hull (2005) Options, Futures, and Other Derivatives. 6th ed., Prentice Hall. ISBN 0-13-149908-4 (816 p)
Härdle, W., Simar, L. (2007) Applied Multivariate Statistical Analysis. 2nd extended ed., Springer Verlag, Heidelberg. ISBN 3-540-72243-4 (456 p)
Cizek, P., Härdle, W., Weron, R. (2011) Statistical Tools for Finance and Insurance. 2nd ed., Springer Verlag, Heidelberg. ISBN: 978-3-642-18061-3 (420 p)

Exam: oral exam (70%) and presentation (30%)

Credits: 
3.00
Program: 
Semester: 
Spring 2014
Affiliation: 
Humboldt-Universität zu Berlin