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Higher Moments of the Claims Development Result in General Insurance

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  • Salzmann, Robert
  • Wüthrich, Mario V.
  • Merz, Michael

Abstract

The claims development result (CDR) is one of the major risk drivers in the profit and loss statement of a general insurance company. Therefore, the CDR has become a central object of interest under new solvency regulation. In current practice, simple methods based on the first two moments of the CDR are implemented to find a proxy for the distribution of the CDR. Such approximations based on the first two moments are rather rough and may fail to appropriately describe the shape of the distribution of the CDR. In this paper we provide an analysis of higher moments of the CDR. Within a Bayes chain ladder framework we consider two different models for which it is possible to derive analytical solutions for the higher moments of the CDR. Based on higher moments we can e.g. calculate the skewness and the excess kurtosis of the distribution of the CDR and obtain refined approximations. Moreover, a case study investigates and answers questions raised in IASB.

Suggested Citation

  • Salzmann, Robert & Wüthrich, Mario V. & Merz, Michael, 2012. "Higher Moments of the Claims Development Result in General Insurance," ASTIN Bulletin, Cambridge University Press, vol. 42(1), pages 355-384, May.
    • Handle: RePEc:cup:astinb:v:42:y:2012:i:01:p:355-384_00
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    Cited by:

    1. Avanzi, Benjamin & Taylor, Greg & Vu, Phuong Anh & Wong, Bernard, 2016. "Stochastic loss reserving with dependence: A flexible multivariate Tweedie approach," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 63-78.

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