Conditional VaR (CVaR)

AdvancedRisk Management2 min read

Quick Definition

Also called Expected Shortfall, CVaR measures the average loss in the worst-case scenarios beyond the VaR threshold, providing a more complete picture of tail risk.

What Is Conditional VaR (CVaR)?

Conditional Value at Risk (CVaR), also known as Expected Shortfall (ES), measures the expected loss given that the loss exceeds the VaR threshold. It answers: "When things go really bad, how bad on average?"

CVaR vs. VaR:

FeatureVaRCVaR
Question"What's the maximum loss at X% confidence?""What's the average loss beyond VaR?"
Tail RiskIgnores severity beyond thresholdCaptures full tail severity
Example (95%)"5% chance of losing more than $X""In that worst 5%, average loss is $Y"
Coherent Risk MeasureNoYes

Example:

  • Portfolio VaR (95%): -$100,000
  • Meaning: 5% chance of losing more than $100K
  • CVaR (95%): -$150,000
  • Meaning: In the worst 5% of outcomes, average loss is $150K

Why CVaR Is Preferred:

  • VaR tells you the threshold but not how bad losses get beyond it
  • Two portfolios can have the same VaR but very different CVaR
  • CVaR satisfies mathematical properties (subadditivity) that VaR violates
  • Regulators increasingly require CVaR/ES reporting (Basel III)

Practical Application:

  • Use CVaR to compare strategies with similar VaR but different tail behaviors
  • A strategy with lower CVaR is preferable — it means smaller losses in extreme scenarios
  • CVaR is particularly important for strategies involving options or leveraged positions

Formula

Formula

CVaR_α = E[L | L > VaR_α]

Conditional VaR (CVaR) Example

  • 1Portfolio VaR is -$50K at 95%, but CVaR is -$80K — meaning in the worst 5% of cases, you lose $80K on average
  • 2Basel III now requires banks to report Expected Shortfall instead of VaR for market risk