IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-22749-3_20.html
   My bibliography  Save this book chapter

CHAID Algorithm Applied in a Post-rating and Managing the Business-Risk Insurance Contracts

In: Advances in Empirical Economic Research

Author

Listed:
  • Assia Khenoussi

    (Kolea University pole)

Abstract

The industrial risks of non-life insurance are especially affected by severe claims. The study was conducted on a sample of 742 insurance policies (Business and Industrial Risks Contracts) provided by one Algerian insurance company covering a period of 6 years (2009–2014). The contribution of this work is manifested in the application of the CHAID algorithm in the management and pricing of commercial insurance contracts in order to identify the combinations of guarantees and the characteristics of the contracts which determine the classification of new contracts, depending on the class and severity of the risk or, in other words, is to propose an internal management model and a posteriori pricing model for “Corporate-Risk Insurance.”

Suggested Citation

  • Assia Khenoussi, 2023. "CHAID Algorithm Applied in a Post-rating and Managing the Business-Risk Insurance Contracts," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Empirical Economic Research, chapter 0, pages 327-340, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-22749-3_20
    DOI: 10.1007/978-3-031-22749-3_20
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-031-22749-3_20. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.