Monte Carlo Simulation for Credit Portfolio Stress Testing: Beyond Traditional VaR Models
Traditional Value-at-Risk (VaR) models, while foundational, often fall short in capturing the full spectrum of risks inherent in complex institutional credit portfolios. Their reliance on historical data and assumptions of normally distributed returns struggles to account for sudden, correlated market dislocations—known as tail risk. Monte Carlo Simulation (MC) offers a …