High-Frequency Price–Volume Correlation as an A-Share Stock Selection Factor

Summary

This research explores whether intraday price and volume relationships can improve stock selection. It builds three signals from price–volume correlation: its average level, its stability over time, and its trend. The average signal adjusts conventional reversal analysis: price moves accompanied by volume are more likely to reverse, while moves without volume confirmation are more likely to persist. Stable daily price–volume patterns are associated with stronger following-month returns, while frequent shifts between patterns are associated with weaker returns. A decline in the correlation over time is also presented as a positive return signal.

The authors combine these dimensions into a composite factor and test it on China A-shares from January 2014 through January 2020. They report monthly information coefficients and long–short portfolio results, and say the factor retains stock-selection ability after controlling for common style and industry effects. These are historical backtest findings, not evidence of future performance. The supplied text gives summary results but not the detailed factor formulas, data-processing choices, transaction-cost assumptions, or robustness analysis needed to assess implementation and practical trading capacity.

Key ideas

• The study derives stock-selection signals from intraday price and volume correlations.
• Volume confirmation is used to distinguish price moves that are more likely to reverse from those more likely to continue.
• Stable daily price–volume relationships are associated with stronger subsequent returns in the reported analysis.
• The composite factor combines correlation level, stability, and trend, and is tested on China A-shares.
• Historical backtest results remain subject to implementation details and market changes.

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