Expected Shortfall (ES)

Expected Shortfall, also known as Conditional Value at Risk, is a risk assessment measure that quantifies the average loss in the tail of a distribution. While Value at Risk tells you the maximum loss you might expect with a certain confidence, Expected Shortfall tells you how bad things might get if you cross that threshold.

It is considered a more coherent risk measure than VaR because it accounts for the severity of extreme events. In volatile crypto markets, ES is particularly useful for identifying the potential magnitude of catastrophic losses.

It helps risk managers prepare for black swan events by looking at the expected loss given that a loss exceeds the VaR. By focusing on the tail of the distribution, it provides a clearer picture of systemic risk.

This metric is increasingly used in the design of margin and liquidation engines to ensure adequate coverage against extreme volatility. It offers a more conservative and comprehensive approach to risk management.