IDEAS home Printed from https://ideas.repec.org/a/taf/uaajxx/v26y2022i1p27-42.html
   My bibliography  Save this article

Pricing Hurricane Bonds Using a Physically Based Option Pricing Approach

Author

Listed:
  • Carolyn W. Chang
  • Jack S. K. Chang
  • Min-Teh Yu

Abstract

Hurricane bonds are unique in that they are structured with a dual exercise condition: a physically based condition that the underlying hurricane makes landfall at a prespecified location, and a standard moneyness condition that they end in the money. As the time of landfall is uncertain, their maturities are also uniquely random. This research thus proposes a modeling methodology to solve this option-pricing problem—that is, to price hurricane bonds at the nexus of atmospheric science and finance by integrating hurricane risk modeling and option pricing modeling. We resolve this dual exercise/random maturity issue by implementing a coupled hurricane generator to simulate hurricane synthetic tracks, intensity, radius, two-dimensional wind fields, and hurricane-index value evolution along the tracks. We price the increasingly popular parametric and parametric-index hurricane bonds by Monte Carlo simulations, as the underlying hurricane indices are untraded and thus replication pricing is not viable.

Suggested Citation

  • Carolyn W. Chang & Jack S. K. Chang & Min-Teh Yu, 2022. "Pricing Hurricane Bonds Using a Physically Based Option Pricing Approach," North American Actuarial Journal, Taylor & Francis Journals, vol. 26(1), pages 27-42, January.
  • Handle: RePEc:taf:uaajxx:v:26:y:2022:i:1:p:27-42
    DOI: 10.1080/10920277.2020.1824798
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10920277.2020.1824798
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10920277.2020.1824798?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:uaajxx:v:26:y:2022:i:1:p:27-42. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uaaj .

    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.