In order to rate intermediaries, Detralytics has developed a credibility model separating pure randomness from structural differences in loss ratios. The output results in a reliability index quantifying the confidence one can place on underwriting experience for a particular intermediary (based on the credibility coefficient) and a performance index assessing the quality of intermediary’s production (based on the credibility predictor of individual random effects). In this note, an elementary approach is proposed, treating broker’s efficiency level as a fixed effect (rather than a random effect in credibility). This provides the actuary with a preliminary ranking pointing to the ineffective intermediaries.
Sector: Insurance
Authors: Michel Denuit and
Julien Trufin
Publisher: Detralytics
Date: February 2022
Language: English
Pages: 7
Reference : FAQctuary 2022-1
Michel is a Scientific Advisor at Detralytics, as well as a professor in actuarial science at the Université Catholique de Louvain. He has international experience as a visiting professor, and has promoted many projects in collaboration with the industry. At Detralytics, Michel coaches young talents, provides cutting-edge training, fosters innovation and oversees R&D projects.
Julien est Scientific Advisor chez Detralytics et Professeur en sciences actuarielles au sein du département de mathématiques de l’Université Libre de Bruxelles. Il possède une expérience en tant que consultant et un solide parcours académique développé au sein d’institutions de renom, dont l’Université Laval (Canada), l’UCL et l’ULB (Belgique). Chez Detralytics, Julien encadre les jeunes talents, dispense des formations de pointe, stimule l’innovation et supervise les projets de R&D.
