arXiv (OAI Expanded)
open access
Machine Learning Classification and Portfolio Construction: Does the Loss Function Matter?
Classification outperforms regression across matched machine learning models in portfolio construction. A stacking ensemble of gradient boosted trees, random forest, and neural network yields a value-weighted annualized Sharpe ratio of 2.08 for classification and 1.39 for regression. This outperform
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