Asymptotic Fairness of Bonus-Malus Systems and Optimal Scales of Premiums
In this paper we try to evaluate the asymptotic fairness of bonus-malus systems, assuming the simplest case when there is no hunger for bonus. The asymptotic fairness has to be understood as the bonus-malus system ability in assessing the individual risks in the long run. Firstly we define the asymptotic fairness of a bonus-malus system following an expression that can be found in J. Lemaire [1985]: Automobile Insurance. Actuarial Models. Dordrecht: Kluwer-Nijhoff Publishing, p. 168. Secondly, we define a measure of the global asymptotic fairness considering the structure function of the risk group. Finally we try to calculate, for each set of transition rules and a given structure function, the scale of premiums that brings the global asymptotic fairness closest to the ideal situation where each insured pays in the long run a premium corresponding to its own claim frequency. This is possible thanks to the application of a multiobjective optimization technique named Goal Programming. The Geneva Papers on Risk and Insurance Theory (2002) 27, 61–82. doi:10.1023/A:1020633525146
Year of publication: |
2002
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Authors: | Heras, A. ; Vilar, J.L. ; Gil, J.A. |
Published in: |
The Geneva Risk and Insurance Review. - Palgrave Macmillan, ISSN 1554-964X. - Vol. 27.2002, 1, p. 61-82
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Publisher: |
Palgrave Macmillan |
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