Explainable Machine Learning for Cross-Sectional Stock Return Prediction and Mean–Variance Portfolio Optimization
Portfolio construction aims to balance expected return and risk through effective asset allocation. This study proposes a portfolio formation framework that integrates machine learning-based return prediction with Markowitz mean–variance portfolio optimization. Random Forest, XGBoost, Multilayer Perceptron, and Support...