Yi-Han He

Causal-DFM: Diffusion-Based Causal-Invariant Dynamic Factor Model for Stock Return Prediction

Stock return prediction is highly sensitive to market regime shifts, such as bull-bear transitions, financial crises, and monetary policy cycles, where statistical relationships between observed features and returns can change abruptly. While recent deep learning-based factor models achieve strong performance in relati...