Using 191 Short-Term Alpha Factors in a Chinese Equity Stock-Selection Strategy

Summary

The document introduces a 2017 Guotai Junan research report that constructed 191 short-cycle alpha factors from price and volume characteristics and combined them in a stock-selection system. It notes that the factor expressions resemble those in WorldQuant’s earlier collection of 101 alphas. The author says formulas for most factors were implemented as functions to retrieve historical factor values, leaving factor validation and strategy design to users.

The cited report is said to show, from January 2012 through April 2017, annualized excess return of 50.2% over the CSI 500 after transaction costs, a maximum drawdown of 5.9%, and an information ratio of 4.67. The author also reports that a single-factor backtest using Alpha_191 outperformed the broad market, but provides no details of that test in the text. These are historical claims rather than independently documented results here. The account itself warns that many published factors performed poorly or had lost effectiveness in Chinese equities, and that market style changes, including the weakening of small-cap strategies, limit the relevance of past performance.

Key ideas

• The cited research builds a stock-selection system from 191 short-term price and volume factors.
• The author says the factor expressions resemble an earlier set of 101 published alphas.
• The report’s stated backtest covers January 2012 through April 2017 and includes transaction costs.
• The document cautions that many factors were ineffective or weakened in Chinese equities as market conditions changed.

Tags

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