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Non-parametric and parametric bootstrap techniques for age-to-age development factor methods in stochastic claims reserving

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  • Susanna Björkwall
  • Ola Hössjer
  • Esbjörn Ohlsson

Abstract

In the literature, one of the main objects of stochastic claims reserving is to find models underlying the chain-ladder method in order to analyze the variability of the outstanding claims, either analytically or by bootstrapping. In bootstrapping these models are used to find a full predictive distribution of the claims reserve, even though there is a long tradition of actuaries calculating the reserve estimate according to more complex algorithms than the chain-ladder, without explicit reference to an underlying model. In this paper we investigate existing bootstrap techniques and suggest two alternative bootstrap procedures, one non-parametric and one parametric, by which the predictive distribution of the claims reserve can be found for other age-to-age development factor methods than the chain-ladder, using some rather mild model assumptions. For illustration, the procedures are applied to three different development triangles.

Suggested Citation

  • Susanna Björkwall & Ola Hössjer & Esbjörn Ohlsson, 2009. "Non-parametric and parametric bootstrap techniques for age-to-age development factor methods in stochastic claims reserving," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2009(4), pages 306-331.
  • Handle: RePEc:taf:sactxx:v:2009:y:2009:i:4:p:306-331
    DOI: 10.1080/03461230903239738
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    Cited by:

    1. Gao, Suhao & Yu, Zhen, 2023. "Parametric expectile regression and its application for premium calculation," Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 242-256.

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