Cristina Tanasescu

A machine learning framework for multi-market portfolio optimization: Evidence from U.S. stocks and cryptocurrencies

This study presents an integrated framework for multi-market portfolio optimization that integrates machine-learning-based return forecasting with classical and downside-oriented risk models. Using daily data for Bitcoin, Ethereum, BNB, Microsoft, and Tesla, the XGBoost algorithm is employed to predict short-term retur...