Expected Shortfall Analysis

Expected shortfall, also known as conditional VaR, measures the average loss that occurs in the scenarios where the loss exceeds the VaR threshold. Unlike VaR, which only tells you the threshold, expected shortfall provides insight into the severity of tail events.

This makes it a more robust measure for managing risk in volatile markets like cryptocurrencies. It is particularly useful for assessing the potential impact of market crashes on highly leveraged derivative portfolios.

By focusing on the tail of the distribution, it encourages more prudent risk-taking and better capital allocation. Regulators are increasingly favoring expected shortfall over VaR due to its superior properties in capturing tail risk.

It is a critical component of modern institutional risk management.