Green Bonds Need More Attention
This thesis applies deep learning methods to examine the forecastability of green bond yields relative to conventional (brown) bond yields. Using Transformer-based neural networks trained on a large panel of macro-financial indicators, selected via LASSO regularization, we develop forecasting models that differentiate between regular and crisis periods. The results suggest that green and brown bon
