IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Risk Allocation across the Enterprise: Evidence from the Insurance Industry

Listed author(s):
  • Michael K. McShane
  • Tao Zhang
  • Larry A. Cox
Registered author(s):

    Financial researchers initially regarded hedging activities as a means to reduce total firm risk, which often is defined in terms of cash flow volatility. More recently, researchers have focused on the strategic allocation of risk. Direct tests of risk allocation have been problematic, however, because hedging data are rarely available and, when available, are specific only to a single operation of the firm, such as bank lending. In this study, we exploit unique data from the insurance industry that allows us to observe hedging proxies for both investment and insurance underwriting risks and test the risk allocation hypothesis developed in the finance literature. We also conduct separate examinations of life-health and property-casualty insurers, which reveal differences in the risks and hedging activities of these two types of insurers.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by Western Risk and Insurance Association in its journal Journal of Insurance Issues.

    Volume (Year): 35 (2012)
    Issue (Month): 1 ()
    Pages: 73-99

    in new window

    Handle: RePEc:wri:journl:v:35:y:2012:i:1:p:73-99
    Contact details of provider:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:wri:journl:v:35:y:2012:i:1:p:73-99. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (James Barrese)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.