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Quantamental A-Share Portfolio Using Three Fundamental Factors

Article BigQuant

Summary

This article outlines a monthly A-share stock selection example built from gross margin, return on equity, and a cash-flow-per-share to earnings-per-share measure. It notes that financial statements update infrequently and that related accounting variables can overlap, recommending attention to persistent measures and cash-flow indicators. The example filters out suspended, specially treated, and Beijing Stock Exchange stocks, selects securities that rank within the top 500 on each factor, and assigns equal weights across a 500-stock portfolio.

The article reports an annualized return of 3.69% for its backtest and presents the exercise as a basic implementation example, with timing overlays suggested as a possible extension. It does not state the test period, transaction costs, benchmark, drawdown, or other risk statistics, so the reported return alone is insufficient to assess robustness. Quarterly reporting delays and factor dependence also remain important implementation concerns.

Key ideas

  • The example ranks A-shares using gross margin, return on equity, and a cash-flow-to-earnings measure.
  • It filters suspended, specially treated, and Beijing Stock Exchange stocks before selection.
  • The strategy holds 500 equally weighted names and refreshes the portfolio monthly.
  • The reported annualized backtest return is 3.69%, but the document omits the test period and risk details.
  • Financial reporting delays and correlated accounting factors can weaken fundamental screens.

Tags

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