IDEAS home Printed from https://ideas.repec.org/a/kap/geneva/v29y2004i1p75-108.html
   My bibliography  Save this article

The Effective Duration and Convexity of Liabilities for Property-Liability Insurers Under Stochastic Interest Rates

Author

Listed:
  • Kevin C. Ahlgrim
  • Stephen P. D'Arcy
  • Richard W. Gorvett

Abstract

Managing interest rate risk for property-liability insurers requires appropriate measurement of the sensitivity of liabilities to movements in interest rates. Most prior studies have assumed that interest rates shift in a parallel fashion and that the cash flows from liabilities are unaffected by interest rate changes. This article recognizes that unpaid property-liability (P-L) insurance losses are inflation-sensitive, that movements in interest rates will affect future claim payouts due to the correlation between interest rates and inflation and that interest rates are stochastic. The effective duration and convexity of P-L insurance liabilities calculated based on this approach are substantially lower than those measured using traditional approaches, which has important implications for asset-liability management by P-L insurers.

Suggested Citation

  • Kevin C. Ahlgrim & Stephen P. D'Arcy & Richard W. Gorvett, 2004. "The Effective Duration and Convexity of Liabilities for Property-Liability Insurers Under Stochastic Interest Rates," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 29(1), pages 75-108, June.
    • Handle: RePEc:kap:geneva:v:29:y:2004:i:1:p:75-108
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0926-4957/contents
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Jennifer L. Wang & H.C. Huang & Sharon S. Yang & Jeffrey T. Tsai, 2010. "An Optimal Product Mix for Hedging Longevity Risk in Life Insurance Companies: The Immunization Theory Approach," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 473-497, June.
    2. J. Cummins & Georges Dionne & Robert Gagné & A. Nouira, 2009. "Efficiency of insurance firms with endogenous risk management and financial intermediation activities," Journal of Productivity Analysis, Springer, vol. 32(2), pages 145-159, October.
    3. Nicos Scordis, 2020. "A note on risk and value from an underutilized dataset: Consolidated disclosures," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(1), pages 105-112, March.

    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:kap:geneva:v:29:y:2004:i:1:p:75-108. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.