IDEAS home Printed from https://ideas.repec.org/a/eee/insuma/v124y2025ics0167668725000769.html
   My bibliography  Save this article

As-if-Markov reserves for reserve-dependent payments

Author

Listed:
  • Christiansen, Marcus C.
  • Djehiche, Boualem

Abstract

In multistate life insurance, prospective reserves are commonly calculated as expectations conditioned only on the current state of the individual policy, rather than on the full observed past history, which is well motivated in Markov models, but is often done even when the empirical data does not show the Markov property. The resulting as-if-Markov prospective reserves then represent partially portfolio averaged values rather than individual values. This averaging effect is particularly relevant when individual policies are lapsed or modified, where it is common practice to credit the individual reserve to the policyholder, making the cashflow reserve-dependent. Such reserve dependence is normally avoided by applying the Cantelli theorem, but this does not work for as-if-Markov reserves without the Markov property. We show that, under mild technical assumptions, the as-if-Markov prospective reserves are still well defined despite the circularity in their definition, and we explain how they can be computed numerically by fixed-point iteration.

Suggested Citation

  • Christiansen, Marcus C. & Djehiche, Boualem, 2025. "As-if-Markov reserves for reserve-dependent payments," Insurance: Mathematics and Economics, Elsevier, vol. 124(C).
  • Handle: RePEc:eee:insuma:v:124:y:2025:i:c:s0167668725000769
    DOI: 10.1016/j.insmatheco.2025.103129
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167668725000769
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.insmatheco.2025.103129?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:insuma:v:124:y:2025:i:c:s0167668725000769. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505554 .

    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.