Risk
CVaR (Conditional Value at Risk)
CVaR (Conditional Value at Risk) is the average loss conditional on the VaR threshold being breached at a given confidence level.
Also known as: Expected Shortfall · ES · Conditional VaR · CVaR 95
CVaR — Conditional Value at Risk, also called Expected Shortfall — answers the question that VaR leaves open: when the loss exceeds the VaR threshold, how much do I actually lose on average? Where VaR is a quantile (a cut-off), CVaR is an expectation (an average). Basel III, ESMA and every institutional risk desk use CVaR as the internal standard because it is a coherent risk measure by definition: it satisfies sub-additivity, so diversification can never make CVaR worse.
Formula
For a confidence level α (typically 95% or 99%) and a return distribution with VaR_α as the corresponding quantile, CVaR is:
CVaR_α = E[ L | L ≥ VaR_α ]In words: the expected loss given that the loss is at least as bad as VaR. On a 1,000-day historical sample with α = 0.95, VaR is the 50th worst return and CVaR is the arithmetic average of those 50 worst returns.
When to use CVaR instead of VaR
- ·When the loss distribution has fat tails — CVaR captures the magnitude of those tails, VaR ignores it.
- ·When you optimize a portfolio: minimising CVaR yields a convex problem with a unique solution, minimising VaR can yield concentrated portfolios.
- ·When you report risk to investors who care about tail outcomes (institutional clients, regulators).
Numerical example
A 60/40 portfolio simulated with a t-distribution (ν = 5, realistic fat tails for equity) over 5 years of daily returns produces:
- ·Daily 95% VaR ≈ −1.62%
- ·Daily 95% CVaR ≈ −2.34%
- ·CVaR − VaR spread = −0.72% → the tail costs 44% more than the threshold.
Ignoring that 44% means underestimating the expected drawdown on a crisis day by ~70 bps on €100k of capital — the difference between "it went badly" and "I lost a month of expected return in a single day".
How MEDGE Capital uses CVaR
MEDGE exposes both Min CVaR 95% and Min CVaR 99% as portfolio optimization objectives, computed historically over the backtest window. Every risk report shows VaR and CVaR side by side at the same α so the reader sees how much the tail exceeds the threshold — disclosing a risk and understanding it are different acts.
Where MEDGE Capital uses this
See also
VaR (Value at Risk)
VaR (Value at Risk) is the maximum loss not expected to be exceeded with a given confidence level over a given holding period.
Maximum Drawdown
Maximum Drawdown (MDD) is the largest peak-to-trough decline in a portfolio's cumulative value over a measurement window.
Monte Carlo Simulation
Monte Carlo simulation generates a large number of random portfolio return paths to estimate the probability distribution of future outcomes given a return model.