A Transformer-Based Explainable Machine Learning Framework for Heterogeneous ESG Risk and Return Prediction Using Text Intelligence
HET-ESGFormer is evaluated on 3,182 U.S.-listed firms over 2015 to 2024 using 10-K filings, sustainability reports, earnings call transcripts and ESG-tagged news.