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Average Trading Value as a 60-Day Equity Factor

Article BigQuant

Summary

The document is framed as a single-factor analysis of average trading value over the past 60 trading days. Its substantive material is a factor-analysis workflow configured for Chinese equities: it evaluates a supplied platform feature across the full stock universe, sorts stocks into five quantiles, and uses a roughly monthly rebalance schedule. The configuration also calls for industry and market-cap neutralization and reports intended diagnostics such as information coefficient analysis, factor distributions, and crowding.

The displayed feature identifier does not clearly establish that it calculates the named 60-day average trading value, and the document contains no resulting charts, statistics, or conclusions. Its date range is 2019, with several exclusions and a stated commission assumption; these choices constrain any interpretation. The text therefore shows how a factor might be examined, but it provides no evidence that the factor predicts returns or forms a profitable strategy.

Key ideas

  • The document presents a single-factor study centered on 60-day average trading value.
  • The shown workflow divides the full stock universe into five factor quantiles and rebalances about monthly.
  • It specifies industry and market-cap neutralization and a range of factor diagnostics.
  • The displayed feature identifier does not clearly verify the stated factor definition.
  • No analysis results or investment performance are included.

Tags

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