This course introduces key risk measures in financial markets, discusses machine learning methods for estimation, and provides examples of practical applications.
The course covers key risk measures such as Value at Risk (VaR) and Expected Shortfall, introduces estimation methods including quantile regression and Lasso, and concludes by demonstrating their integration through the Financial Risk Meter series of papers.
Phd in Sun Yat-sen University visiting Phd in Humboldt University of Berlin