Stock Selection with a Volume–Price Correlation Factor

Summary

This research constructs a stock-selection factor from the short-term correlation between trading volume and price movement. It uses that relationship to distinguish stocks whose volume and price move together from those that diverge, then ranks stocks for a long–short portfolio with a roughly half-month holding or rebalancing horizon. The summary reports positive historical results, including a long–short return contribution from both sides, with the short side contributing more. It also describes stronger separation among the lowest-ranked groups and notes that the factor has some size exposure.

The reported backtest shows annualized long–short returns of 29%, maximum drawdown of 16%, an information ratio of 2.55, and a holding-period win rate of 72% over its full test period. The authors report positive alpha after controlling for size, reversal, liquidity, and industry effects, and say combining the factor with reversal improved results. Performance varied by year, with weaker results in 2009 and 2014 and a pattern described as stronger in bear markets. These are historical findings from a summarized study; the underlying paper and details of data, costs, and implementation are not provided here.

Key ideas

• The factor measures short-term association between stock price changes and trading volume.
• The study reports useful long–short stock ranking performance at a half-month horizon, with returns weighted more toward the short side.
• The reported factor retains positive alpha after controls for several common exposures, including size, reversal, liquidity, and industry.
• Results vary across market years, and the summary identifies weaker performance in 2009 and 2014.
• Combining the score with reversal is reported to improve backtest returns, but implementation and cost details are absent.

Tags

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