Summer School on Complexity Economics, Behavioral Economics and Data Science
If you're a graduate or PhD student interested in Economics or Data Science, then this might just be the...
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What is FiRRM?
The Centre of Finance, Risk and Resource Management (FiRRM) is a team of researchers at the Technical University of Dortmund. We specialize in modern financial applications and risk management. Our focus? Data-driven research within the fields of economics and finance. Our goal? To build a community of talented analysts.
Read MoreNews
Watch our recent News at the center of Finance-, Risk- and Resource Management
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- Hagen Rafeld on the topic of collusive rogue trading March 11, 2019
Hagen Rafeld is a recent graduate at FiRRM. In his dissertation, he dives deep on some of the worst cases of rogue trading of our time!
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- Congratulations, Timotheos! January 30, 2019
Timotheos 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.
Upcoming Events
Biasing Unbiased Dynamic Contests
In this talk, Marco Serena, Ph.D. from the Max-Planck institute for Tax Law and Public Finance will be...
Investment and Financing
Our course Investment and Financing covers the basic concepts of financial markets and investment valuation.
Investment-, Portfolio- and Risk- Management
Learn how to optimize your portfolio and discover tools for risk management.
Financial Modeling
Hands-on: Implementation of relevant topics covering investment-, portfolio- and risk management using Excel and VBA
Quantitative Finance
Get deep insights into state-of-the-art interest rate models and derivative valuation in practice. Hands-on real problem sets using Python
Financial Econometrics
Basic concepts for financial econometrics like multivariate regressions. Advanced methods for time series analysis and forecasting.
Research topics in Finance
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