Interpreting Factor Crowding as Average Group Turnover
Summary
The discussion clarifies the meaning of a factor-crowding value shown in BigQuant’s factor analysis module. The reply says the value is the recent average turnover rate of stocks after they have been grouped by a factor. It is therefore a group-level average rather than the turnover rate of one individual stock.
The reported scale also explains why the displayed number can exceed 100: the platform’s turnover figures are expressed such that dividing by 100 yields the percentage. As an illustration, a displayed value of 105 corresponds to a turnover rate of 1.05 in the platform’s stated convention. The exchange provides a practical interpretation of the metric, but no detailed formula, averaging window, worked dataset, or guidance for using crowding in a trading signal.
Key ideas
- Factor crowding is described as recent average turnover for stocks within each factor group.
- The measure summarizes a group rather than an individual stock.
- BigQuant’s displayed turnover convention means the value may exceed 100.
- The explanation does not specify the precise averaging period or provide a full calculation method.
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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.