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Value at Risk (VaR) and CVaR

A loss threshold at a confidence level, and the average loss beyond it.

Source data: AMFI daily NAV (17,900+ schemes) + Nifty benchmark indices · Last updated: 2026-07-02 · Open the MFPRO tool

What are VaR and CVaR?

Value at Risk (VaR) and Conditional VaR (CVaR), also called Expected Shortfall, are downside risk measures that quantify potential losses in the tail of the return distribution.

Formula

VaR (95%) = 5th percentile of daily returns
"On 95% of days, your loss won't exceed this value."

CVaR (95%) = Average of all daily returns at or below the VaR
"When things go bad (worst 5% of days), how bad on average?"

We use the historical method - the actual percentile of observed returns. No normal distribution assumption (parametric VaR) is made, which is important because equity returns are typically not normally distributed.

Example

VaR and CVaR in Practice

VaR (95%) = −2.1% means: on the worst 5% of trading days, the fund lost at least 2.1%.
CVaR (95%) = −3.0% means: on those worst 5% of days, the average loss was 3.0%.

If a fund has 1,000 daily returns, VaR is the 50th worst return (5th percentile). CVaR is the average of those 50 worst returns.

How to Interpret

Important Notes

Related metrics

More Advanced Risk methodology from the MFPRO analytics tool: