SSRNML & AI Methods

Multi-Horizon Stock Return Prediction via Transformer-Based Deep Learning

Transformer-based models capture pricing signals via self-attention that boost out-of-sample Sharpe ratios across one-, three-, six-, and twelve-month stock return forecasts, outperforming standard machine learning approaches.