Portfolio Allocation and Risk Budgeting Across Strategies
Summary
This overview surveys approaches to combining strategies and allocating capital across assets. It traces the progression from fixed mixes and mean-variance optimization to Black-Litterman allocations that incorporate investor views, endowment-style exposure to alternative assets, and factor-based allocation. It also outlines strategy weighting using correlations or performance measures such as drawdown, Sharpe ratio, and volatility, along with periodic rotation and replacement rules.
The portfolio methods include target-risk, risk-budgeting, and risk-parity approaches. The text distinguishes volatility-based risk parity from a variant that allocates downside risk, and notes trade-offs such as relatively stable weights but limited returns for volatility risk parity. It emphasizes that covariance-based risk estimates rely on assumptions about stable asset risks and relationships, while correlations can change over time. The article is a broad conceptual survey rather than a worked implementation: it supplies no comparative backtests or detailed allocation calculations, and some strategy-combination methods are only named.
Key ideas
- Fixed mixes, mean-variance optimization, and Black-Litterman represent different approaches to portfolio allocation.
- Factor allocation organizes exposures by return drivers such as growth, inflation, momentum, and volatility.
- Strategies can be weighted using correlations, drawdowns, Sharpe ratios, or volatility measures.
- Risk budgeting and risk parity allocate portfolio risk across holdings, including by downside risk.
- Risk estimates based on historical covariance may fail when asset risks or correlations change over time.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.