IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v90y2008i4p962-978.html
   My bibliography  Save this article

Spatial-Temporal Model of Insect Growth, Diffusion and Derivative Pricing

Author

Listed:
  • T.J. Richards
  • J. Eaves
  • M. Manfredo
  • S.E. Naranjo
  • C.-C. Chu
  • T.J. Henneberry

Abstract

Insect derivatives represent an important innovation in specialty crop risk management. An active over-the-counter market in insect derivatives will require a transparent pricing method. This paper develops an econometric model of the spatio-temporal process underlying a particular insect population and develops a pricing model based on this process. We show that insect derivatives can play an important risk management role in mitigating B. tabaci (whitefly) damage in cotton. Beyond developing a new risk management instrument, the key methodological contribution of this paper lies in pricing derivatives with stochastic properties in both space and time dimensions. Copyright 2008, Oxford University Press.

Suggested Citation

  • T.J. Richards & J. Eaves & M. Manfredo & S.E. Naranjo & C.-C. Chu & T.J. Henneberry, 2008. "Spatial-Temporal Model of Insect Growth, Diffusion and Derivative Pricing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 962-978.
  • Handle: RePEc:oup:ajagec:v:90:y:2008:i:4:p:962-978
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2008.01170.x
    Download Restriction: Access to full text is restricted to subscribers.

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

    Citations

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


    Cited by:

    1. Bekkerman, Anton & Piggott, Nicholas E. & Goodwin, Barry K. & Jefferson-Moore, Kenrett, 2012. "A Market-based Mitigation Program for Wind-borne Diseases," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(02), pages 175-188, August.
    2. Lu, Liang & Elbakidze, Levan, 2012. "Application of Comparative Dynamics in Stochastic Invasive Species Management in Agricultural Production," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125226, Agricultural and Applied Economics Association.
    3. Turvey, Calum G. & Kong, Rong & Belltawn, Burgen, 2009. "Weather Risk and the Viability of Weather Insurance In Western China," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49362, Agricultural and Applied Economics Association.

    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:oup:ajagec:v:90:y:2008:i:4:p:962-978. 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: (Oxford University Press) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/aaeaaea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.