IDEAS home Printed from https://ideas.repec.org/a/cup/anacsi/v17y2023i3p580-605_8.html
   My bibliography  Save this article

Auto-balanced common shock claim models

Author

Listed:
  • Taylor, Greg
  • Vu, Phuong Anh

Abstract

The paper is concerned with common shock models of claim triangles. These are usually constructed as linear combinations of shock components and idiosyncratic components. Previous literature has discussed the unbalanced property of such models, whereby the shocks may over- or under-contribute to some observations. The literature has also introduced corrections for this. The present paper discusses “auto-balanced” models, in which all shock and idiosyncratic components contribute to observations such that their proportionate contributions are constant from one observation to another. The conditions for auto-balance are found to be simple and applicable to a wide range of model structures. Numerical illustrations are given.

Suggested Citation

  • Taylor, Greg & Vu, Phuong Anh, 2023. "Auto-balanced common shock claim models," Annals of Actuarial Science, Cambridge University Press, vol. 17(3), pages 580-605, November.
  • Handle: RePEc:cup:anacsi:v:17:y:2023:i:3:p:580-605_8
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1748499523000064/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    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:cup:anacsi:v:17:y:2023:i:3:p:580-605_8. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aas .

    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.