Diversifying and Allocating Capital Across Trading Strategies
Summary
The document introduces portfolio management when the portfolio’s components are trading strategies as well as assets. It contrasts equal weighting as a starting point with Markowitz efficient-frontier allocation, which balances return against a risk constraint, and Kelly sizing, which seeks to maximize expected log wealth. Diversification across instruments and strategies may reduce dependence on any one market regime, but requires choosing weights suited to the investor’s objectives and risk tolerance.
It outlines portfolio performance measures, including annualized return and volatility, Sharpe and Sortino ratios, beta, drawdown, trade count, and holding period. It also lists practical considerations such as liquidity, transaction costs, slippage, and correlation, and describes Python tools for data handling, numerical analysis, visualization, and optimization. The examples are described as simple portfolios with multiple stocks and strategies, but the provided text does not show their construction, data, or performance results. It emphasizes that constituent strategies should be backtested; estimates and portfolio behavior can change with market conditions and trading costs.
Key ideas
- A portfolio can allocate capital across trading strategies as well as across financial instruments.
- Equal weighting offers a simple baseline, while efficient-frontier and Kelly approaches optimize different objectives.
- Diversifying across strategies and instruments can reduce concentration in particular market regimes.
- Portfolio evaluation can combine return, volatility, drawdown, and trade-level measures.
- Correlation, liquidity, commissions, and slippage affect portfolio construction and realized performance.
- Strategies need backtesting before inclusion, and their estimated returns remain uncertain.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.