IDEAS home Printed from https://ideas.repec.org/a/taf/sactxx/v2017y2017i4p343-365.html

Basis risk in static versus dynamic longevity-risk hedging

Author

Listed:
  • Clemente De Rosa
  • Elisa Luciano
  • Luca Regis

Abstract

This paper provides a tractable, parsimonious model for assessing basis risk in longevity and its effect on the hedging strategies of Pension Funds and annuity providers. Basis risk is captured by a single parameter, that measures the co-movement between the portfolio and the reference population’s longevity. The paper sets out the static, full and customized swap-hedge for an annuity, and compares it with a dynamic, partial, and index-based hedge. We calibrate our model to the UK and Scottish populations. The effectiveness of static versus dynamic strategies depends on the rebalancing frequency of the second, on the relative costs, and on basis risk, which does not affect fully-customized, static hedges. We show that appropriately calibrated dynamic hedging strategies can still be reasonably effective, even at low rebalancing frequencies.

Suggested Citation

  • Clemente De Rosa & Elisa Luciano & Luca Regis, 2017. "Basis risk in static versus dynamic longevity-risk hedging," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2017(4), pages 343-365, April.
    • Handle: RePEc:taf:sactxx:v:2017:y:2017:i:4:p:343-365
    DOI: 10.1080/03461238.2015.1134636
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03461238.2015.1134636
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03461238.2015.1134636?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Di Giacinto, Marina & Mancinelli, Daniele & Marino, Mario & Oliva, Immacolata, 2024. "Pension funds with longevity risk: an optimal portfolio insurance approach," Insurance: Mathematics and Economics, Elsevier, vol. 119(C), pages 268-297.
    2. De Rosa, Clemente & Luciano, Elisa & Regis, Luca, 2021. "Geographical Diversification And Longevity Risk Mitigation In Annuity Portfolios," ASTIN Bulletin, Cambridge University Press, vol. 51(2), pages 375-410, May.

    More about this item

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:2017:y:2017:i:4:p:343-365. 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.