Policy pricing in the Canadian insurance market

Insurance companies seek methods for optimally pricing their policies to their customers. They must offer good value to their prospective policy holders, and yet remain competitive in a challenging market environment. This project will use modern statistical and data analytic techniques to help them achieve this. Based on policy prices and client-specific information, models will be developed that will help uncover pricing strategies used by companies in the insurance market. These models will then be validated, and then put tested in simulation to ensure good performance.

Faculty Supervisor:

David Stephens

Student:

Partner:

TD Insurance

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

McGill University

Program:

Accelerate

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