Lectures in course FIN-417: Quantitative risk management

Explores the importance of aggregate risk and coherent risk measures, including their interpretation and implications.

Explores quantitative risk management tools, Historical Value-At-Risk estimation challenges, CCAR scenarios, and fitting return processes.

Compares machine learning with traditional models in credit risk modeling, emphasizing non-linear relationships and predictive enhancements.