IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v30y2010i5p409-431.html
   My bibliography  Save this article

General equilibrium and preference free model for pricing options under transformed gamma distribution

Author

Listed:
  • Luiz Vitiello
  • Ser‐Huang Poon

Abstract

The gamma class of distributions encompasses several important distributions, either as special or limiting cases or through simple transformations. Here we derived closed form and preference free European option pricing formulae for various (transformed) gamma distributions under the general equilibrium RNVR framework. The gamma class of distributions is used historically in hydrology for modelling natural events. Our models can be used to price derivatives associated with these natural phenomena, which will help to encourage greater risk sharing through financial securitization. Our pricing formulae are theoretically sound even if the underlyings and the derivative instruments are not (frequently) traded. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:409–431, 2010

Suggested Citation

  • Luiz Vitiello & Ser‐Huang Poon, 2010. "General equilibrium and preference free model for pricing options under transformed gamma distribution," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(5), pages 409-431, May.
  • Handle: RePEc:wly:jfutmk:v:30:y:2010:i:5:p:409-431
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luiz Vitiello & Ser-Huang Poon, 2022. "Option pricing with random risk aversion," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1665-1684, May.
    2. Chang, Chuang-Chang & Tsay, Min-Hung & Lin, Jun-Biao, 2018. "A generalized Brennan–Rubinstein approach for valuing options with stochastic interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 92-99.
    3. Raj Kumari Bahl & Sotirios Sabanis, 2016. "Model-Independent Price Bounds for Catastrophic Mortality Bonds," Papers 1607.07108, arXiv.org, revised Dec 2020.
    4. Bahl, Raj Kumari & Sabanis, Sotirios, 2021. "Model-independent price bounds for Catastrophic Mortality Bonds," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 276-291.
    5. Luiz Vitiello & Ivonia Rebelo, 2015. "A note on the pricing of multivariate contingent claims under a transformed-gamma distribution," Review of Derivatives Research, Springer, vol. 18(3), pages 291-300, October.

    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:wly:jfutmk:v:30:y:2010:i:5:p:409-431. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0270-7314/ .

    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.