Using Expected Shortfall for Portfolio Risk Control and Risk Parity

Summary

This post discusses portfolio risk measurement and argues that return volatility and Value at Risk do not capture losses beyond their usual thresholds. It proposes Expected Shortfall, also called ES, to measure extreme losses in the tail beyond a confidence level alpha. The stated application is to use ES for risk parity allocation and portfolio risk control.

The available text gives only a brief conceptual outline. It does not explain how to estimate ES, define the confidence level in practice, calculate asset or portfolio contributions, or adjust allocations in response to the measure. No portfolio example, data, comparison, backtest, or empirical result is supplied. The proposal therefore identifies a risk measure and intended use, but provides too little detail to assess a specific implementation or its effectiveness. Readers would need additional methodology to reproduce the approach or evaluate how it behaves under different distributions and market conditions.

Key ideas

• The post identifies volatility and Value at Risk as measures that do not describe losses beyond their thresholds.
• Expected Shortfall is proposed to measure losses in the tail beyond a chosen confidence level.
• The proposed uses are risk parity allocation and portfolio risk control.
• The text does not give an estimation procedure, portfolio example, or empirical evaluation.

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.