Expected Shortfall (CVaR) 95% and 99%: practical guide

Understand CVaR 95% and 99%, how it differs from VaR, and how to use tail-risk metrics for portfolio decisions.

Saturday, 28 February 2026

Expected Shortfall (CVaR) 95% and 99%: practical guide

What CVaR 95% and 99% mean

Expected Shortfall (CVaR) estimates the average loss in the worst tail beyond the VaR threshold.

$CVaR_c = -E[R \mid R \le Q_{1-c}(R)]$

Quick example

On a $100,000 portfolio:

  • VaR 95% = $2,100
  • CVaR 95% = $3,000

Interpretation: when losses go beyond the 95% VaR threshold, average loss is closer to $3,000, not $2,100.

Why CVaR matters

  • VaR gives a cutoff point.
  • CVaR describes what happens after that cutoff.

For fat-tail markets, CVaR usually gives a more realistic downside view.

Practical use

  • Compare allocations with similar expected return but different tail risk.
  • Set risk limits on CVaR, not only volatility.
  • Combine with drawdown to monitor both tail events and path risk.

Next step

Disclaimer
This article is not financial advice but an example based on studies, research and analysis conducted by our team.
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