Active Risk Parity with Black–Litterman Views and Gold Diversification

Summary

This study describes active risk parity as a portfolio built around a risk-parity allocation, with controlled deviations based on investment views. In its two-asset example, Chinese equities and corporate bonds are rebalanced using rolling covariance estimates; the author notes that their different volatilities produce a bond-heavy risk-parity allocation. The active version uses the Black–Litterman model, limits tracking error relative to the neutral portfolio, and sets a volatility target. A further example adds gold and estimates expected returns using recent momentum.

Reported historical tests compare these portfolios with fixed equity-bond mixes and discuss returns, volatility, drawdowns, and Sharpe ratios. The article reports better risk-adjusted results for some active and gold-inclusive configurations, but these are model-based historical findings rather than evidence of future performance. Results depend on parameter choices, return estimates, and active management skill. The author also identifies model misspecification, liquidity stress, limited leverage and shorting access, and a possible simultaneous decline in stocks and bonds as practical limitations.

Key ideas

• Risk parity provides a neutral allocation, while active risk parity permits measured deviations based on investment views.
• The example uses Black–Litterman allocation, a tracking-error limit, and a volatility target.
• The study adds gold and uses recent momentum to estimate expected returns in a three-asset example.
• Historical tests report risk and return comparisons, but the results depend on model choices and are not guarantees of future performance.
• Leverage constraints, liquidity stress, model error, and joint stock-bond losses are identified as risks.

Tags

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