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Industry Crowding Measures Combined with Momentum for Sector Allocation

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Summary

This research framework measures crowding in equity industries using price and trading activity. It groups candidate indicators into trend-oriented measures, including price deviation and moving-average dispersion; supplementary measures such as turnover, size-weighted CSAD, trade-size relationships, small-order volume, and price-volume correlation; and cross-industry measures such as excess-return skewness and trading share. The central allocation idea is to balance an industry’s own trend with a moderate crowding level. Low crowding alone can be misleading because declining industries may also become less crowded, creating a risk of entering too early.

The summary reports that the most crowded industry groups had negative cumulative excess returns versus an equal-weight industry portfolio during 2016 through June 2022: the top five, eight, and ten groups are reported at -38%, -26%, and -14%, respectively. A separate equal-weight portfolio combining industry momentum and crowding is reported to have annualized returns of 15.15% and excess returns of 12.48% over the equal-weight industry benchmark through May 30, 2022. These are reported backtest findings; the available summary does not provide implementation details or establish that the results generalize beyond the tested period.

Key ideas

  • Crowding can be measured with price trends, trading activity, and comparisons across industries.
  • High crowding may compress future excess-return potential without immediately causing a trend reversal.
  • Selecting only low-crowding industries can lead to premature entries when falling prices reduce crowding.
  • The proposed allocation approach combines industry momentum with crowding rather than using either measure alone.
  • The reported historical backtests show weaker relative results for the most crowded groups and stronger results for the combined portfolio.

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