Explores portfolio optimization models and strategies under uncertainty, emphasizing decision criteria like value-at-risk and mean-variance functional.
Explores coherent risk measures and the spectral approach to risk aversion, covering VaR, ES, subadditivity, convexity, and the creation of new risk measures.
Explores the practical applications and implications of the Capital Asset Pricing Model in finance, including estimating betas and calculating expected returns.
Covers the fundamentals of financial risk management, including types of risk, historical developments, regulatory events, and the challenges in quantitative risk management.
