This project investigates using machine learning methods to predict shock lapses at the end of the level term in term life insurance for assumption setting and risk management. Methods from GLM to deep neural networks will be benchmarked. Recruiting is complete and work is underway. The repository will be made public when the first preprint is available in January.
This project investigates using machine learning methods to predict shock lapses at the end of the level term in term life insurance for assumption setting and risk management. Methods from GLM to deep neural networks will be benchmarked. Recruiting is complete and work is underway. The repository will be made public when the first preprint is available in January.