Credit Risk Management

4 credits

Theory, applications and computational methods for credit risk measurement and management. Statistical and mathematical modeling of credit risk, emphasizing numerical methods and R programming. Methods include logistic regression, Monte Carlo simulation, and portfolio cash flow modeling. Covers default risk regression, analytics, and portfolio models of credit risk. Prerequisite: CFRM 405 and CFRM 410.