Allocate capital to equalize risk contribution across asset classes
| Strategy Type | Portfolio Allocation / Risk Balancing |
| Market Outlook | Allocate capital to equalize risk contribution across asset classes |
| Risk Profile | Balanced - equal risk from each component |
| Reward Profile | Improved risk-adjusted returns (Sharpe 0.5-0.8 typical) |
| Time Horizon | Long-term strategic allocation (monthly/quarterly rebalancing) |
| Iv Environment | All environments - adapts allocation to volatility |
| Breakeven | Consistent performance across market regimes |
| Primary Instruments | ETFs, Bonds, Commodities, Global Equities, REITs |
| Mas Compliance | MAS regulated brokers for leveraged implementations |
| Trading Hours | Rebalancing during appropriate market hours |
| Contract Size | Varies by instrument |
| Settlement | T+2 for most securities |
| Tax Treatment | No capital gains tax for individuals in Singapore |
| Margin Requirements | Leverage may require margin account |
| Cdp Account | Required for SGX securities |
| Singapore Relevance | Risk parity ideal for Singapore investors seeking balanced global exposure with consistent risk management |
Risk parity allocates capital so each asset contributes equal risk to the portfolio. This means volatile assets get lower weight and stable assets get higher weight, achieving true diversification.
In 60/40, about 90% of risk comes from stocks. Risk parity balances this so if stocks fall, the bond allocation can actually offset losses, providing true diversification.
Bonds are less volatile than stocks. To contribute equal risk, you need more bonds. If stocks are 3× more volatile than bonds, you need ~3× more bonds by weight.
Monthly rebalancing is most common for risk parity. Some use quarterly. You can also rebalance when weights drift by more than 5-10% from targets.
Unlevered risk parity may return 4-6% with ~5-7% volatility. With leverage to 10% volatility, returns might be 8-12%. Sharpe ratios of 0.5-0.8 are typical.
MRC measures how much adding to an asset increases portfolio risk. Full risk parity equalizes MRC × weight across all assets, accounting for correlations.
Unlevered risk parity has low returns due to heavy bond allocation. Leverage scales up the portfolio to achieve target volatility and returns while maintaining risk balance.
Full risk parity accounts for correlations. Highly correlated assets should get lower combined weight because their risks compound. Uncorrelated assets provide true diversification.
Both stocks and bonds fell together due to inflation/rates. Risk parity's bond-heavy allocation provided no diversification. This shows risk parity isn't perfect in all environments.
Common methods: sample covariance (simple), exponentially weighted (EWMA, more responsive), or shrinkage estimators (Ledoit-Wolf, more stable). 60-252 day lookback is typical.
HRP uses hierarchical clustering to group similar assets, then allocates risk through the tree via recursive bisection. It's more stable than optimization-based risk parity.
Instead of balancing asset risk, factor risk parity balances risk across underlying factors (market, value, momentum, etc.) that drive returns. This provides deeper diversification.
Regime-aware risk parity detects market conditions (calm, stressed, crisis) and adjusts allocation, reduces leverage, or adds hedges. This improves crisis performance.
Recursive bisection walks down the clustering tree, at each node splitting risk between branches based on their inverse volatility, continuing until reaching individual assets.
Production requires: automated data pipeline, risk parity calculation engine, execution integration, real-time monitoring dashboard, alert system, and automated reporting.
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