COMPACT: Compliant Predictive Actuarial Models

Insurance companies bring security to society by pooling risks. Debates in society, technical developments, challenges imposed by big data, internal risk management, marketing needs, changing supervisory guidelines and regulation, and the increasing political demand for more accurate modeling (e.g. in the form of fraud detection) motivate the relevance of research in actuarial predictive modeling (or: insurance analytics). This project develops new, accurate ACTuarial Predictive models for insurance, accounting for the challenges mentioned. We explicitly take into account the legal framework regulating private insurance activities such that COMpliant Predictive ACTuarial models result as end product.

Keywords:Insurance, Predictive models

Disciplines:Applied economics