[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/uts/ppaper/2014-8.html
   My bibliography  Save this paper

Natural Disasters, Insurance Stocks and the Numeraire Portfolio

Author

Abstract
This study employs a generalized numeraire portfolio to benchmark insurance stocks to detect abnormal returns in the presence of natural disasters and insurable losses. We show that under the benchmark approach the efficient markets hypothesis holds in the presence of extreme insurable loss whereas other common methods such as the market model and Fama- French three factor model often fail due to the accumulation of estimation errors. We construct a portfolio of U.S. insurance firms and observe the market reaction to a set of major insured natural disasters. Numeraire denominated or benchmarked returns are shown to be are natural measures of abnormal returns. Using the benchmark approach we observe no significant trend in the cumulative abnormal returns of insurance securities following a natural disaster. Using both the traditional market model and the Fama-French three factor model however, we observe significantly positive cumulative abnormal returns following an insured event. The errors inherent in the market model and three-factor model for event studies are shown to be eliminated using the benchmark approach.

Suggested Citation

  • Jason West & Eckhard Platen, 2014. "Natural Disasters, Insurance Stocks and the Numeraire Portfolio," Published Paper Series 2014-8, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
  • Handle: RePEc:uts:ppaper:2014-8
    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 search for a similarly titled item that would be available.

    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:uts:ppaper:2014-8. 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: Duncan Ford (email available below). General contact details of provider: https://edirc.repec.org/data/sfutsau.html .

    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.