We propose a new machine learning-based framework for long-term mortality forecasting. Based on ideas of neighbouring prediction, model ensembling, and tree boosting, this framework can significantly improve the prediction accuracy of long-term mortality. In addition, the proposed framework...

Effective agricultural insurance and risk management program rely on accurate crop yield forecasting. In this paper, we propose a novel deep factor model for crop yield forecasting and crop insurance ratemaking. This framework first utilizes a deep autoencoder to extract a latent factor, called...

We study the implications of longevity shocks for corporate bond markets, corporate debt financing and investment through the lens of life insurers. Longevity shocks shift life insurers' demand for bonds of specific maturities. When longevity increases, life insurance companies increase their...