On the consistency of credibility premiums regarding Esscher principle

Maolin Pan, Rongming Wang, Xianyi Wu

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

In this paper, we investigate the problems of convergence of experience-based ratemakings regarding the Esscher principle. In addition to the Bayes and the classical credibility premiums, we suggest a new credibility formula for the Esscher premium. Then we show the convergence of the Bayes and the newly defined credibility premiums towards the individual premium and point out that the classical credibility premium does not generally converge to the individual premium by presenting a sufficient and necessary condition under which the classical credibility Esscher premium converges to the individual premium. A simulation study is carried out to illustrate the theoretical conclusions.

Original languageEnglish
Pages (from-to)119-126
Number of pages8
JournalInsurance: Mathematics and Economics
Volume42
Issue number1
DOIs
StatePublished - Feb 2008

Keywords

  • Convergence
  • Credibility premium
  • Esscher premium
  • Loss function

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