Intraday Price and Volume Stability as Predictors of Stock Returns
Summary
This report studies whether the stability of intraday trading patterns can help rank Chinese stocks. It calculates seven measures from five-minute returns and volume, including volatility, skewness, kurtosis, and a volume concentration index. To account for serial dependence, it measures the variability of these features using Newey–West adjusted standard deviations. The underlying idea is that unusually unstable intraday behavior may reflect information shocks or large-player activity and could precede weaker returns.
The report says stocks with less stable intraday features had lower subsequent average returns across the tested universes. It highlights results for large-cap stocks and reports that some factors retained performance in recent years. Several measures overlap, while return-volatility and volume-volatility stability showed independent selection effects after controlling for broader factor groups. Adding selected intraday factors improved reported CSI 300 and CSI 500 enhancement portfolios without materially changing tracking error, drawdown, or turnover. These are historical findings from the report; it flags model failure and extreme market conditions as risks.
Key ideas
- Seven intraday return and volume characteristics are measured from five-minute bars.
- Newey–West adjusted standard deviations quantify how stable those characteristics are over time.
- The report finds that greater instability is associated with lower future average stock returns.
- Return-volatility and volume-volatility stability show independent selection effects after factor controls.
- Adding selected intraday measures reportedly improved benchmark-enhanced portfolios, subject to model and extreme-market risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.