IDEAS home Printed from https://ideas.repec.org/a/taf/sactxx/v2021y2021i4p335-361.html
   My bibliography  Save this article

Optimal dividend strategy for an insurance group with contagious default risk

Author

Listed:
  • Zhuo Jin
  • Huafu Liao
  • Yue Yang
  • Xiang Yu

Abstract

This paper studies the optimal dividend for a multi-line insurance group, in which each subsidiary runs a product line and is exposed to some external credit risk. The default contagion is considered such that one default event may increase the default probabilities of all surviving subsidiaries. The total dividend problem for the insurance group is investigated and we find that the optimal dividend strategy is still of the barrier type. Furthermore, we show that the optimal barrier of each subsidiary is modulated by the default state. That is, how many and which subsidiaries have defaulted will determine the dividend threshold of each surviving subsidiary. These conclusions are based on the analysis of the associated recursive system of Hamilton–Jacobi–Bellman variational inequalities (HJBVIs). The existence of the classical solution is established and the verification theorem is proved. In the case of two subsidiaries, the value function and optimal barriers are given in analytical forms, allowing us to conclude that the optimal barrier of one subsidiary decreases if the other subsidiary defaults.

Suggested Citation

  • Zhuo Jin & Huafu Liao & Yue Yang & Xiang Yu, 2021. "Optimal dividend strategy for an insurance group with contagious default risk," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2021(4), pages 335-361, April.
  • Handle: RePEc:taf:sactxx:v:2021:y:2021:i:4:p:335-361
    DOI: 10.1080/03461238.2020.1845231
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03461238.2020.1845231
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03461238.2020.1845231?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. Han, Kookyoung & Choi, Jin Hyuk, 2023. "Implications of false alarms in dynamic games on cyber-security," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).

    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:2021:y:2021:i:4:p:335-361. 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.