Quantitative Methods that Clarify Uncertainty
VaR frames typical losses at a confidence level; Expected Shortfall focuses on what happens beyond that threshold. When evaluating financial risk through analysis, both metrics together reveal not only boundaries but depth of tail vulnerabilities.
Quantitative Methods that Clarify Uncertainty
By sampling many market paths, Monte Carlo shows how small assumptions ripple into big outcomes. Evaluating financial risk through analysis includes validating distributions, correlations, and regime shifts, then backtesting results against real volatility windows.
Quantitative Methods that Clarify Uncertainty
Design narratives that stretch systems: sudden rate hikes, commodity shocks, or funding squeezes. Evaluating financial risk through analysis means quantifying impacts on P&L, liquidity, and collateral, then rehearsing actions before stress turns into panic.