This project applies mathematical techniques to design a process by which an insurance company can optimize revenue. The main objective is to categorize client portfolios using K-means algorithm to segment the market. After clusters are obtained, a logistic regression is applied to determine the optimal premium increase/decrease that maximizes the revenue for each cluster, based its specific characteristics. Applying the optimal premium change to each customer subgroup, the firm will increase its overall revenue.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Olloqui, Fernando Miguel
• Ossa Rodriguez, Daniel
• Paez, Esteban Ramiro

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-121407-111650

Advisor

• Abraham, Jon P.

Year

• 2007

Sponsor

• Towers Perrin

Date created

• 2007-12-14

Resource type

• Major Qualifying Project

Major

• Actuarial Mathematics

Rights statement

• In Copyright

最新修改

• 2021-01-27