What are the main implementation issues with risk parity strategies?

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Risk parity sets weights so each asset contributes equally to total portfolio risk: w_i * MCR_i = w_j * MCR_j for all i, j. Elegant on paper but several implementation issues. First, leverage. Equal risk contribution from low-vol bonds and high-vol stocks requires massively overweighting bonds - often 60-80% weight, requiring leverage to reach target return. A typical risk parity fund runs 1.5-3x leverage. Financing costs in a rate-hiking cycle destroy returns - 2022 saw risk parity down 22% as bonds fell and financing costs rose. Second, correlation assumption. Equal risk contribution math assumes stable covariance matrix, but correlations shift (see stock-bond correlation regime). Post-2020 stocks and bonds correlated positively, erasing supposed diversification. Third, position sizing of illiquid assets. Commodities, TIPS, EM debt trade with wide spreads and limited liquidity. Rebalancing a $6B risk parity fund in commodities causes market impact of 15-30 bps per rebalance. Fourth, benchmark ambiguity. Risk parity has no natural benchmark, making performance evaluation contentious. Did you lose because of asset selection or strategy design? Mitigations: dynamic vol targeting, factor-based risk parity, explicit inflation overlays. ```mermaid graph TD A[Risk parity] --> B[Leverage] A --> C[Correlation
shift] A --> D[Liquidity] B --> E[Financing
drag] ```

What are the main implementation issues with risk parity strategies?

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