Abstract
AbstractI argue that the idea of pursuing a strong personalization of the motor liability insurance conflicts hopelessly with the need to refer to homogeneous groups of policyholders large enough to be correctly priced. I furthermore discuss the fact that, due to purely algebraic reasons, it is a priori impossible to obtain the right individual premium by the usual method of multiplying a common base one by a series of factors (as many, as the personalization variables one has chosen to consider). Finally, I point out that the choice of the said factors, not always made with sufficient respect for the statistical evidences, not only gives rise to serious problems concerning the system’s fairness and transparency, but puts theoretically at risk the Companies management balance.
Publisher
Springer Science and Business Media LLC
Reference4 articles.
1. Constantinescu C. Bonus-Malus systems with Weibull distributed claim severities, IVASS workshop, Rome; 2022. https://www.ivass.it/pubblicazioni-e-statistiche/pubblicazioni/att-sem-conv/2022/16-12-workshop-rcauto/Constantinescu_workshop_IVASS_16_12_2022.pdf
2. Cacciafesta F. Assicurazione RCA: sui limiti della personalizzazione col “metodo moltiplicativo”; Giustizia civile.com (2015); 2015
3. Lemaire J. Bonus-malus systems in automobile insurance. Boston: Kluwer-Academic Publishers; 1995.
4. Pinquet J. Experience rating through heterogeneous models. Handbook of Insurance, chapter. 2000;14:459–500.