Yi-Han He

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

The Causal-Invariant Dynamic Factor Model (Causal-DFM), a causality-inspired factor-based framework that encourages compact and stable return-relevant representations while suppressing environment-dependent variations, thereby improving robustness under distribution shift is proposed.