Quant GT
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Section 23 · Lesson 23.2

Expected Shortfall

The average loss in the tail beyond VaR.

Expected Shortfall (ES, also called Conditional VaR or CVaR) is the average loss conditional on the loss exceeding VaR:

ESα=E[LL>VaRα]\text{ES}_\alpha = E[L \mid L > \text{VaR}_\alpha]

If a 95%95\% VaR is 1M USD and the average loss on the worst 5%5\% of days is 2M USD, then 95%95\% ES is 2M USD.

ES has two big advantages over VaR. It captures tail magnitude — large losses don't all look the same. And it's a coherent risk measure: it satisfies subadditivity (ES(A+B)ES(A)+ES(B)\text{ES}(A + B) \le \text{ES}(A) + \text{ES}(B)), so combining portfolios never increases total risk. VaR can fail this property in extreme cases.

Basel III is gradually migrating from VaR to ES for market-risk capital requirements. In practice, both are reported and stress-tested side by side.