Transition model for insurance risks

Car (automobile) insurance is a very common type of insurance: policyholders pay a premium to get financial compensation in case an accident happens with their cars. Insurance companies use complex calculations and a lot of information to determine the value of these premiums. More specifically, they must also consider their expectations of the future. Predicting the future is impossible but with the help of artificial intelligence, the current project aims to improve the understanding of how a portfolio of insured cars can evolve in the upcoming years. The idea consists of identifying which factors contribute to the future behavior of the policyholders. By being more aware of the future, insurance companies would be able to charge more realistic premiums to their customers and improve the long-term value of their portfolios.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Intact

Discipline:

Computer science

Sector:

Finance and Insurance; Technology

University:

Université de Montréal

Program: