IDEAS home Printed from https://ideas.repec.org/a/eee/insuma/v121y2025icp100-110.html
   My bibliography  Save this article

Optimal investment and benefit strategies for a target benefit pension plan where the risky assets are jump diffusion processes

Author

Listed:
  • Josa-Fombellida, Ricardo
  • López-Casado, Paula

Abstract

In this paper, we study the optimal management of a target benefit pension plan. The fund manager adjusts the benefit to guarantee the plan stability. The fund can be invested in a riskless asset and several risky assets, where the uncertainty comes from Brownian and Poisson processes. The aim of the manager is to maximize the expected discounted utility of the benefit and the terminal fund wealth. A stochastic control problem is considered and solved by the programming dynamic approach. Optimal benefit and investment strategies are analytically found and analyzed, both in finite and infinite horizons. A numerical illustration shows the effect of some parameters on the optimal strategies and the fund wealth.

Suggested Citation

  • Josa-Fombellida, Ricardo & López-Casado, Paula, 2025. "Optimal investment and benefit strategies for a target benefit pension plan where the risky assets are jump diffusion processes," Insurance: Mathematics and Economics, Elsevier, vol. 121(C), pages 100-110.
  • Handle: RePEc:eee:insuma:v:121:y:2025:i:c:p:100-110
    DOI: 10.1016/j.insmatheco.2025.01.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167668725000137
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.insmatheco.2025.01.002?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.

    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:121:y:2025:i:c:p:100-110. 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.