Risks, Volume 10, Issue 8
2022 August - 25 articles
Cover Story: How to consider the a priori risks in experience-rating models has been questioned in the actuarial community for a long time. Classic past-claim-rating models normalize the past experience of those insured before applying claim penalties. Despite the quality of predictions of the BMS models, this experience-rating model could appear unfair to many of those insured and regulators because it does not recognize the initial risk of the insured. In this paper, we propose the creation of different BMSs for each type of insured using recursive partitioning methods. We apply this approach to real data for the farm insurance product of a major Canadian insurance company with widely varying sizes of those insured. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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