Credibility theory based on trimming

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20 Citations (Scopus)


The classical credibility theory proposed by Bühlmann has been widely used in general insurance applications. In this paper we propose a credibility theory via truncation of the loss data, or the trimmed mean. The proposed framework contains the classical credibility theory as a special case and is based on the idea of varying the trimming threshold level to investigate the sensitivity of the credibility premium. After showing that the trimmed mean is not a coherent risk measure, we investigate some related asymptotic properties of the structural parameters in credibility. Later a numerical illustration shows that the proposed credibility models can successfully capture the tail risk of the underlying loss model, thus providing a better landscape of the overall risk that insurers assume.

Original languageEnglish
Pages (from-to)36-47
Number of pages12
JournalInsurance: Mathematics and Economics
Issue number1
Publication statusPublished - 2013 Jul

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program of the National Research Foundation of Korea ( 2012-8-0666 for Jeon; 2012-8-1657 for Kim) funded by the Korean government. The authors are grateful to the reviewers for helpful comments and suggestions.

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty


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