Building Value and Growth Stock Factors with a Quality Screen

Summary

This study describes a grouped-factor approach to combining quality, growth, and value signals for A-share stock selection. A quality composite based on enterprise value and return on equity ranks stocks and defines a filtered universe for further selection. Within that universe, the proposed growth composite combines forecast and historical growth measures, while the value composite uses book-to-price, earnings-to-price, and sales-to-price measures. The report also constructs relative value by regressing the absolute value factor on growth and using the residual to identify cheaper stocks among companies with similar growth.

The document reports historical excess returns for the quality, growth, value, and relative value portfolios, and describes equal-weight multi-factor combinations for CSI 300 and CSI 500 universes. It cites information ratios of 3.04 and 2.80 for those combinations and says risk and maximum drawdown were controlled. These are historical findings from the study; the supplied text omits the underlying PDF, test period, detailed portfolio rules, and implementation assumptions, so the results cannot be independently assessed here.

Key ideas

• A quality composite can both contribute a return signal and screen the universe for later factor selection.
• The proposed growth and value composites average several forecast and historical accounting measures.
• Residualizing absolute value against growth produces a relative value signal for comparing firms with similar growth.
• The study uses equal-weighted factor combinations, with different factor sets for the CSI 300 and CSI 500 universes.
• The reported historical performance lacks supporting test details in the supplied text.

Tags

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