IDEAS home Printed from https://ideas.repec.org/a/cup/jpenef/v11y2012i04p549-580_00.html
   My bibliography  Save this article

Dynamic allocation decisions in the presence of funding ratio constraints

Author

Listed:
  • MARTELLINI, LIONEL
  • MILHAU, VINCENT

Abstract

This paper introduces a continuous-time allocation model for an investor facing stochastic liability commitments indexed with respect to inflation. In the presence of funding ratio constraints, the optimal policy is shown to involve dynamic allocation strategies that are reminiscent of portfolio insurance strategies, extended to an asset–liability management (ALM) context. Empirical tests suggest that their benefits are relatively robust with respect to changes in the objective function and the introduction of various forms of market incompleteness. We also show that the introduction of maximum funding ratio targets would allow pension funds to decrease the cost of downside liability risk protection.

Suggested Citation

  • Martellini, Lionel & Milhau, Vincent, 2012. "Dynamic allocation decisions in the presence of funding ratio constraints," Journal of Pension Economics and Finance, Cambridge University Press, vol. 11(4), pages 549-580, October.
    • Handle: RePEc:cup:jpenef:v:11:y:2012:i:04:p:549-580_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1474747212000194/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mantilla-Garcia, Daniel & Martellini, Lionel & Garcia-Huitrón, Manuel E. & Martinez-Carrasco, Miguel A., 2024. "Back to the funding ratio! Addressing the duration puzzle and retirement income risk of defined contribution pension plans," Journal of Banking & Finance, Elsevier, vol. 159(C).
    2. Xavier Warin, 2016. "The Asset Liability Management problem of a nuclear operator : a numerical stochastic optimization approach," Papers 1611.04877, arXiv.org.
    3. Ying Jiao & Olivier Klopfenstein & Peter Tankov, 2013. "Hedging under multiple risk constraints," Papers 1309.5094, arXiv.org.
    4. Ying Jiao & Olivier Klopfenstein & Peter Tankov, 2017. "Hedging under multiple risk constraints," Finance and Stochastics, Springer, vol. 21(2), pages 361-396, April.

    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:jpenef:v:11:y:2012:i:04:p:549-580_00. 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/pef .

    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.