IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-89824-7_34.html
   My bibliography  Save this book chapter

Life Insurers’ Asset-Liability Dependency and Low-Interest Rate Environment

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Nicola Borri

    (LUISS University & CASMEF, Department of Economics and Finance)

  • Rosaria Cerrone

    (University of Salerno, Department of Business Science–Management & Innovation Systems)

  • Rosa Cocozza

    (University of Naples “Federico II”, Department of Economics, Management, Institutions)

  • Domenico Curcio

    (University of Naples “Federico II” & CASMEF, Department of Economics, Management, Institutions)

Abstract

In this paper we study the relationships between life insurers’ assets and liabilities and investigate how it evolved during the most recent years of unprecedented low interest rates. We use a canonical correlation analysis to measure the relationships among, and between, asset and liability accounts for the main EU life insurers in the years 2007, 2011 and 2015. We find strong and substantial evidence that assets and liabilities have become more independent over time. We argue that the declining trend of market interest rates has contributed to the generalized reduction in the linkage between the asset side and the liability side of EU life insurers, leaving them more exposed to ALM-related risks relative to the period before the financial crisis.

Suggested Citation

  • Nicola Borri & Rosaria Cerrone & Rosa Cocozza & Domenico Curcio, 2018. "Life Insurers’ Asset-Liability Dependency and Low-Interest Rate Environment," Springer Books, in: Marco Corazza & María Durbán & Aurea Grané & Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 185-189, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-89824-7_34
    DOI: 10.1007/978-3-319-89824-7_34
    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_34. 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.