IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-89824-7_78.html

European Insurers: Interest Rate Risk Management

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Francisco Jareño

    (University of Castilla-La Mancha)

  • Marta Tolentino

    (University of Castilla-La Mancha)

  • María de la O González

    (University of Castilla-La Mancha)

  • María Ángeles Medina

    (University of Alcalá)

Abstract

This paper studies the interest rate risk of some relevant European insurers during the period 2003–2015, using the Quantile Regression (QR) methodology and including the state of the economy. The results show that, in general, the European insurers’ returns have a statistically significant sensitivity to interest rates, although there are relevant differences between the different companies analyzed, the different subperiods and between quantiles. Thus, the sensitivity of the European insurers to movements in the European interest rates tends to be more pronounced in extreme market conditions (with upward or downward fluctuations).

Suggested Citation

  • Francisco Jareño & Marta Tolentino & María de la O González & María Ángeles Medina, 2018. "European Insurers: Interest Rate Risk Management," Springer Books, in: Marco Corazza & María Durbán & Aurea Grané & Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 437-441, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-89824-7_78
    DOI: 10.1007/978-3-319-89824-7_78
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:sprchp:978-3-319-89824-7_78. 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.