A China Stock Factor from Returns and Volume Changes
Summary
The document presents a cross-sectional stock factor built from daily Chinese stock data. It calculates a rolling correlation over 20 observations between the close-to-close price ratio and the logarithm of the volume ratio plus one, then reverses the correlation’s sign to produce the factor. This construction links recent price changes with changes in trading volume and assigns lower factor values where the relationship is more positive.
The page identifies the example as a multifactor strategy component and refers to a backtest, but the chart and strategy source are not present in the supplied text. It gives no portfolio formation rules, return statistics, benchmark comparison, or robustness checks. The factor’s predictive value therefore cannot be assessed from this excerpt, and the stated requirement for a particular platform environment limits direct reproducibility.
Key ideas
- The factor uses daily closing prices and volume from Chinese stocks.
- It measures a 20-observation rolling correlation between price ratios and transformed volume ratios.
- The correlation is multiplied by negative one to form the factor value.
- The excerpt refers to backtest materials but provides no visible results or portfolio rules.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.