A Monthly Stock Strategy Based on the 52-Week High Effect

Summary

The document explains the 52-week high effect: investors may use a stock’s annual high as a reference point and respond slowly to information as prices approach it, allowing subsequent price continuation. It also describes research comparing an industry-level strategy, which buys industries near their highs and shorts those far from highs, with an individual-stock approach. The article then outlines a simpler long-only backtest using daily data for roughly 140 Indian stocks over three years.

At each month’s first trading date, the example calculates the prior 252-trading-day high and selects stocks priced within a 90%–95% band of that high. It excludes stocks whose high was reached within a recent lookback, equal-weights qualifying names, and holds them until the next month’s start. The reported cumulative return is 1.172446 and annualized Sharpe ratio is 0.4098. The author says this is not a replication of the research strategy. The example omits detailed treatment of transaction costs and other implementation risks, and its historical results do not establish future performance.

Key ideas

• The 52-week high can act as a reference point that contributes to delayed reactions and return continuation.
• The cited research strategy takes industry-level long and short positions based on proximity to 52-week highs.
• The article’s example selects monthly long positions when prices fall within a specified band below their prior-year highs.
• A recent-high exclusion is intended to avoid stocks that may be declining after reaching their current high.
• The reported backtest had a cumulative return of 1.172446 and an annualized Sharpe ratio of about 0.41.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.