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Testing a Small-Capitalization Factor Against 10-Day Returns

Article BigQuant

Summary

This brief project note describes using small market capitalization as a factor and training a model to relate that factor to subsequent 10-day returns. It presents an initial quantitative research idea: use a size characteristic as an input and forward returns as the target.

The author says the implementation was only developed far enough to run and would need further optimization. The document gives no model specification, dataset details, validation design, performance results, or evidence that the factor predicts returns. It therefore introduces a research setup rather than a demonstrated trading strategy; conclusions would require careful out-of-sample testing and controls for other risk exposures.

Key ideas

  • Small market capitalization is used as the input factor.
  • The target variable is the return over the following 10 days.
  • The author characterizes the implementation as preliminary and in need of further refinement.
  • No predictive results or validation evidence are reported.

Tags

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