Damir Filipovic
EPFL CDM SFI CSF
EXTRA 218 (Extranef UNIL)
Quartier UNIL-Dorigny
1015 Lausanne
+41 21 693 01 08
Office:
EXTRA 218
EPFL › CDM › SFI › CSF
Website: https://www.epfl.ch/labs/csf/
+41 21 693 01 08
EPFL › CDM › CDM-IF › IF-ENS
+41 21 693 01 08
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDFI-GE
Website: https://go.epfl.ch/edfi
+41 21 693 01 08
EPFL › VPA › VPA-FAC › CEAE
Personal Webpage
Damir Filipovic worked as a scientific consultant for the Swiss Federal Office of Private Insurance from 2003 to 2004. There he co-developed the Swiss Solvency Test, which defines the regulatory capital requirement for all Swiss based insurance companies and groups.
He is on the editorial board of several academic journals. His research interests include the term structure of interest rates, credit and volatility risk, quantitative methods in risk management, and stochastic processes. His papers have been published in a variety of academic journals including the Journal of Financial Economics, Mathematical Finance, Finance and Stochastics, and the Annals of Applied Probability. He is the author of a textbook titled Term-Structure Models.
Teaching & PhD
PhD Students
Past EPFL PhD Students
Damien Edouard Ackerer (2017), Lotfi Boudabsa (2023), Mathieu Cambou (2016), Nicolas Etienne Camenzind (2026), Paolo Colusso (2024), Marc-Aurèle Antoine Divernois (2022), Emmanuel Leclercq (2014), Sander Félix M Willems (2019)
Past EPFL PhD Students as codirector
Courses
Interest rate and credit risk models
FIN-416
This course gives an introduction to the modeling of interest rates and credit risk. Such models are used for the valuation of interest rate securities with and without credit risk, the management and hedging of bond portfolios and the valuation and usage of interest rate and credit derivatives.
Quantitative financial risk management
FIN-417
This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate models, risk measures, non-linear dependence structures (copula models), as well as credit risk.