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Using Expected Mutual Fund Holdings for Chinese Stock Selection and Sector Rotation

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Summary

This research explores how estimates of public mutual fund ownership, updated using high-frequency data between formal disclosures, can inform stock selection and sector rotation in Chinese equities. It describes two stock signals: the estimated current ownership share and its change relative to historical holdings. The estimates can also be aggregated from individual stocks to sectors. The article reports that ownership estimates fit relatively well for stocks with higher fund ownership and that sector estimates showed good out-of-sample fit.

For sector rotation, it compares ranking sectors by estimated ownership level, by changes relative to previously disclosed holdings, and by changes relative to the latest quarterly report. The reported strategies showed positive annualized long-short returns and long-side excess returns, with the first approach posting the strongest stated long-short result. These are historical results reported through 2021, not evidence of future performance. The summary provides limited detail on portfolio construction, costs, turnover, or statistical significance, and flags systemic market, liquidity, and policy risks.

Key ideas

  • Expected mutual fund ownership can be estimated between formal disclosure dates using high-frequency data.
  • Ownership level and changes in estimated ownership can serve as distinct stock-selection signals.
  • Stock-level estimates can be aggregated to create expected sector ownership measures.
  • Sector rotation can rank industries by estimated ownership or by changes against disclosed holdings.
  • The reported historical strategy results may be affected by market, liquidity, and policy risks.

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