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Bayesian Analysis Of The Compound Collective Model; The Variance Premium Principle With Exponential Poisson And Gamma-Gamma Distributions

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Author Info
A.Hernández-Bastida () (Departamento de Métodos Cuantitativos para la Economía y la Empresa. Universidad de Granada(Spain))
M.P. Fernández-Sánchez () (Departamento de Métodos Cuantitativos para la Economía y la Empresa. Universidad de Granada(Spain))
E. Gómez-Deniz () (Department of Quantitative Methods in Economics, University of Las Palmas de G.C., Spain.)

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Abstract

The distribution of the aggregate claim size is the considerable importance in insurance theory since, for example, it is needed as an input in premium calculation principles and reserve calculation which plays an important paper in ruin theory. In this paper a Bayesian study for the collective risk model by incorporating a prior distribution for both, the parameter of the claim number distribution and the parameter of the claim size distribution is made and applied to the variance premium principle. Later a sensitivity study is to carry out on both parameters using Bayesian global robustness. Despite the complicated form of the collective risk model it is shown how the robustness study can be treated in an easy way. We illustrate the results obtained with numerical examples.

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File URL: http://www.ugr.es/~teoriahe/RePEc/gra/fegper/FEGWP207.pdf
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Publisher Info
Paper provided by Faculty of Economics and Business (University of Granada) in its series FEG Working Paper Series with number 07/02.

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Length: 32 pages
Date of creation: 22 Nov 2007
Date of revision:
Handle: RePEc:gra:fegper:07/02

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Related research
Keywords: Bayesian Robustness; Contamination Class; Variance Principle.;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies

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  1. Pai, Jeffrey S., 1997. "Bayesian analysis of compound loss distributions," Journal of Econometrics, Elsevier, vol. 79(1), pages 129-146, July. [Downloadable!] (restricted)
  2. Heilmann, Wolf-Rudiger, 1989. "Decision theoretic foundations of credibility theory," Insurance: Mathematics and Economics, Elsevier, vol. 8(1), pages 77-95, March. [Downloadable!] (restricted)
  3. Hurlimann, Werner, 1994. "A note on experience rating, reinsurance and premium principles," Insurance: Mathematics and Economics, Elsevier, vol. 14(3), pages 197-204, July. [Downloadable!] (restricted)
  4. Eichenauer, Jurgen & Lehn, Jurgen & Rettig, Stefan, 1988. "A gamma-minimax result in credibility theory," Insurance: Mathematics and Economics, Elsevier, vol. 7(1), pages 49-57, January. [Downloadable!] (restricted)
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