A hedge fund portfolio study finds that XGBoost selection and comprehensive PolyModel filters raise cumulative returns, while equal-weighting outperforms AUM-weighting.
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PolyModel for Hedge Funds' Portfolio Construction Using Machine Learning
A hedge fund portfolio study finds that XGBoost selection and comprehensive PolyModel filters raise cumulative returns, while equal-weighting outperforms AUM-weighting.