Stock Portfolio Optimization with Explainable AI: A Comparative Study with the Black-Litterman Model
This study aims to determine whether an artificial intelligence (AI) approach can outperform Black-Litterman (BL) -a classical stock portfolio optimization framework.Using a diversified dataset that contains market indices, sector exchange-traded funds (ETFs) and stocks, we compare the performance of XGBoost with a Bla...