Risk Parity Allocation: Diversification, Assumptions, and Tail Risks

Summary

This article explains risk parity as an allocation approach that assigns comparable risk contributions across assets or risk factors, unlike capital-weighted mixes such as a conventional stock and bond portfolio. It lays out assumptions behind the method, including positive risk premia and similar long-run Sharpe ratios, and discusses how leverage can bring lower-volatility assets to a similar risk level. Examples include a simple allocation across equities, fixed income, and commodities, plus an economic-regime framework that considers growth and inflation exposures.

The article argues that diversification can reduce dependence on forecasts, but emphasizes that volatility is only a proxy for the possibility of permanent loss. Credit defaults, fat tails, changing correlations, and exposures to policy shifts can undermine a portfolio whose measured volatility appears balanced. Historical examples and cited product descriptions are illustrative rather than a controlled evaluation; the piece also notes that observed returns may partly compensate for greater tail risk.

Key ideas

• Risk parity allocates risk across assets or factors rather than assigning equal capital weights.
• The approach relies on assumptions about risk premia and comparable long-term Sharpe ratios.
• Diversification across growth and inflation sensitivities can make a portfolio less dependent on one economic outlook.
• Volatility balancing can miss default risk, fat tails, correlation shifts, and concentrated policy exposures.
• Leverage used to equalize measured risk can magnify losses when an asset suffers a severe impairment.

Tags

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