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Three Active Equity Strategies: Fund Holdings, Earnings Surprises, and Broker Picks

Article BigQuant
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Summary

This report tracks three China-focused active equity quant portfolios against an active mutual fund benchmark: an enhancement portfolio built from selected fund holdings, a portfolio that filters earnings-surprise stocks, and an enhancement portfolio based on broker-recommended stocks. The fund-holdings approach ranks managers using indicators of forward performance, trading skill, stock selection, and institutional attention, then optimizes exposure to limit industry and style drift. Its factor evaluation adapts to changing holdings. The surprise strategy first screens for research reports signaling surprises and broad analyst profit upgrades, then applies fundamental and technical filters. The broker-picks strategy optimizes within that stock pool while controlling deviations in stock and style exposures.

The report gives historical backtest results and a mid-2022 performance snapshot, accounting for portfolio exposure and trading fees in several comparisons. It reports outperformance relative to active-fund benchmarks over stated periods, but these are the authors’ historical results, not independent validation or a guarantee of future returns. The document flags changing market conditions and possible strategy failure as risks.

Key ideas

  • The report evaluates three equity strategies against an active mutual fund benchmark rather than only broad market indexes.
  • The holdings-based strategy selects strong funds and uses portfolio optimization to manage industry and style deviations.
  • The earnings-surprise strategy combines event screening with fundamental and technical selection.
  • The broker-picks strategy optimizes within broker-recommended stocks while limiting exposure drift.
  • Reported historical performance includes adjustments for portfolio exposure and trading fees, but does not establish future effectiveness.

Tags

EquitiesChina marketsFactor investingEvent-drivenPortfolio constructionBacktesting

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