Univariate, Bivariate sorting and Fama-MacBeth regression
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Updated
Sep 29, 2024 - Python
Univariate, Bivariate sorting and Fama-MacBeth regression
A modular Python framework for researching and backtesting multi-factor equity strategies using classical factors (Value, Momentum, Size), Fama–MacBeth regressions, IC/IR analysis, and long–short portfolio evaluation.
This project analyses the effect of one-year momentum factor on stock returns by computing CAPM, the Fama-French 3-factor model, and a 4-factor model accounting for momentum. The persistence of the momentum effect through the cross-sectional Fama/MacBeth regression is tested to assess whether this factor can explain test asset returns.
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