IDEAS home Printed from https://ideas.repec.org/a/taf/sactxx/v2009y2009i4p306-331.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03461230903239738
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03461230903239738?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Steinmetz, Julia & Jentsch, Carsten, 2024. "Bootstrap consistency for the Mack bootstrap," Insurance: Mathematics and Economics, Elsevier, vol. 115(C), pages 83-121.
    2. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:sactxx:v:2009:y:2009:i:4:p:306-331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/sact .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.