Building Rule-Based Equity Strategies from Company Fundamentals
Summary
The article explains how company fundamentals can be turned into machine-readable rules for systematic equity selection. It outlines the need for structured, reliable financial data, names several data providers, and discusses risks in reported figures, including receivables counted as earnings, related-party sales, and tax items disclosed late. Suggested safeguards include preferring companies with reliable reporting histories, applying qualitative filters to smaller or less reliable firms, using a sufficiently long backtest, and considering forward risks that historical statements cannot capture.
As an example, it describes a value strategy that selects up to 15 stocks using price-to-earnings, price-to-book, return-on-equity, and market-capitalization thresholds, holds them for a year, then reselects. The article reports that the backtest outperformed the market by almost twice, but gives little methodological detail here and cautions that paper results do not capture every influence on company fundamentals or stock performance. The example is therefore a starting point for research, not evidence that the rules will work in live trading.
Key ideas
- Fundamental rules can automate stock selection using financial statement metrics that update less frequently than prices.
- Data quality and reporting practices can affect the reliability of a fundamental signal.
- The example strategy selects value stocks using valuation, profitability, and market-capitalization criteria, then rebalances annually.
- Backtests should account for reporting history, qualitative risks, and events not present in historical balance sheets.
- The reported backtest result lacks enough detail in the article to establish expected live performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.