Monthly Industry Rotation Using Price and Volume Factors

Summary

This research summary describes a monthly industry rotation method built from price and volume behavior. It groups candidate signals into six categories: momentum, trading volatility, turnover, long-short comparison, price-volume divergence, and alignment between volume and price range. The factors are assessed individually using grouped performance tests and information-coefficient analysis; the summary says this process identified eleven monthly factors considered useful and economically interpretable.

The portfolio ranks China’s CITIC first-level industries by a composite of those factors, excludes the general and diversified-finance industries, and holds the five highest-ranked sectors in equal weights, rebalanced at month end. The reported historical test covers 2010 through July 2022 and gives cumulative return, excess return over an equal-weight industry portfolio, and annual and monthly win rates. These are historical backtest figures from the summary; it provides no detailed methodology, costs, risk statistics, or evidence of out-of-sample performance, so they do not establish future results.

Key ideas

• The study organizes industry price-volume signals into six conceptual groups.
• It evaluates candidate monthly factors with grouped tests and information-coefficient analysis.
• The rotation portfolio equally weights the five highest composite-ranked eligible industries each month.
• The reported backtest spans 2010 through July 2022 and compares results with an equal-weight industry portfolio.
• The summary omits transaction costs, risk measures, and out-of-sample validation details.

Tags

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