

Watch our recent News at the center of Finance-, Risk- and Resource Management
- Congratulations, Timotheos! January 30, 2019Timotheos Paraskevopoulos successfully finished his Ph.D. programme at the center of Finance-, Risk- and Resource Management. Get more detailed information about his dissertation and deeper insights into Timotheos’ research.
The aim of this annual, refereed conference is to provide a professional, stimulating, and international environment in which around 60 top PhD students in Economics can discuss their research results and ideas, establish informal networks, and initiate future collaborative research. The conference also connects early career with experienced researchers, including RGS Econ’s more than 35 faculty members from the universities of Dortmund, Duisburg-Essen, and Bochum, as well as the RWI, one of Germany’s leading economic research institutes.
In his disputation Whale Watching on the Trading Floor: Unravelling Collusive Rogue Trading in Banks Hagen Rafeld explores organizational misbehaviour (OMB) theory and explains the latter and two other major collusive rogue trading events at National Australia Bank and the interest reference rate manipulation/LIBOR scandal through a descriptive model of organizational/structural, individual and group forces. He points out that the OMB theory is suited to be applied to CRT due to its ability to explain negative consequences of complex corporate workplace environments on macro, meso and micro level and draws a conclusion on how banks can establish behavioral risk management and internal control frameworks to reduce potential collusive rogue trading.
Our course Investment and Financing covers the basic concepts of financial markets and investment valuation.
Learn how to optimize your portfolio and discover tools for risk management.
Hands-on: Implementation of relevant topics covering investment-, portfolio- and risk management using Excel and VBA
Get deep insights into state-of-the-art interest rate models and derivative valuation in practice. Hands-on real problem sets using Python
Basic concepts for financial econometrics like multivariate regressions. Advanced methods for time series analysis and forecasting.
Cutting-edge ML techniques on real datasets. Replicate the main results of an A+ ranked journal article using Python and extend this strand of research