Machine Learning Predictions of Stock Returns and Volatilities
March 31, 2025 - Volatility Effects
Are machine learning predictions for both stock returns and return volatilities attractively exploitable? In their March 2025 paper entitled “Deep Learning of Conditional Volatility and Negative Risk-Return Relation”, Qi Wu, Xing Yan and Wenxuan Ma apply non-linear deep learning models (neural networks of one to five layers) and likelihood estimation to forecast next-month stock returns… Keep Reading