Improving Catastrophe Bond Pricing with Probabilistic Machine Learning Approach

This paper introduces a probabilistic machine learning method, combining XGBoost and Conformal Prediction, to improve the pricing accuracy and provide informative prediction intervals for catastrophe bonds in the primary market.