IDEAS home Printed from https://ideas.repec.org/p/ags/eaa101/9254.html
   My bibliography  Save this paper

Basis Risk and Weather Hedging Effectiveness

Author

Listed:
  • Woodard, Joshua D.
  • Garcia, Philip

Abstract

Basis risk has been cited as a primary concern for implementing weather hedges. This study investigates several dimensions of weather basis risk for the U.S. corn market at various levels of aggregation. The results suggest that while the degree of geographic basis risk may be significant in some instances, it should not preclude the use of geographic cross-hedging. In addition, the degree to which geographic basis risk impedes effective hedging diminishes as the level of spatial aggregation increases. In fact, geographic basis risk is actually negative in the case most representative of a reinsurance hedge, and the reduction in risk from employing straightforward temperature derivatives is significant. Finally, precipitation hedges are found to introduce additional product basis risk. The findings may be of interest to decision makers considering using exchange traded weather derivatives to hedge agricultural production and insurance risk.

Suggested Citation

  • Woodard, Joshua D. & Garcia, Philip, 2007. "Basis Risk and Weather Hedging Effectiveness," 101st Seminar, July 5-6, 2007, Berlin Germany 9254, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa101:9254
    DOI: 10.22004/ag.econ.9254
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/9254/files/sp07wo01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.9254?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chuck Mason & Dermot J. Hayes & Sergio H. Lence, 2002. "Systemic risk in U.S. crop reinsurance programs," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 63(1), pages 23-39, December.
    2. Vincent H. Smith & Barry K. Goodwin, 1995. "The Economics of Crop Insurance and Disaster Aid," Books, American Enterprise Institute, number 53374, September.
    3. Dermot J. Hayes & Sergio H. Lence & Chuck Mason, 2003. "Could the government manage its exposure to crop reinsurance risk?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 63(2), pages 127-142, November.
    4. Karyl Leggio & Donald Lien, 2002. "Hedging gas bills with weather derivatives," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(1), pages 88-100, March.
    5. Richards, Timothy J. & Manfredo, Mark R. & Sanders, Dwight R., 2004. "Pricing Weather Derivatives," Working Papers 28536, Arizona State University, Morrison School of Agribusiness and Resource Management.
    6. Jewson,Stephen & Brix,Anders With contributions by-Name:Ziehmann,Christine, 2005. "Weather Derivative Valuation," Cambridge Books, Cambridge University Press, number 9780521843713, October.
    7. Lence, Sergio H., 1996. "Relaxing The Assumptions Of Minimum-Variance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(1), pages 1-17, July.
    8. Patrick L. Brockett & Mulong Wang & Chuanhou Yang, 2005. "Weather Derivatives and Weather Risk Management," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(1), pages 127-140, March.
    9. Martin, Steven W. & Barnett, Barry J. & Coble, Keith H., 2001. "Developing And Pricing Precipitation Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-14, July.
    10. Joseph W. Glauber, 2004. "Crop Insurance Reconsidered," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1179-1195.
    11. Mario J. Miranda & Joseph W. Glauber, 1997. "Systemic Risk, Reinsurance, and the Failure of Crop Insurance Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 206-215.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Woodard, Joshua D. & Garcia, Philip, 2008. "Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(1), pages 1-18, April.
    2. Keith H. Coble & Robert Dismukes & Joseph W. Glauber, 2007. "Private Crop Insurers and the Reinsurance Fund Allocation Decision," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 582-595.
    3. Zhang, Li, 2008. "Three essays on agricultural risk and insurance," ISU General Staff Papers 2008010108000016857, Iowa State University, Department of Economics.
    4. Turvey, Calum G. & Norton, Michael, 2008. "An Internet-Based Tool for Weather Risk Management," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(1), pages 63-78, April.
    5. Turvey, Calum G. & Weersink, Alfons, 2005. "Pricing Weather Insurance with a Random Strike Price: An Application to the Ontario Ice Wine Harvest," 2005 Annual meeting, July 24-27, Providence, RI 19255, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Boyle, Colin F.H. & Haas, Jannik & Kern, Jordan D., 2021. "Development of an irradiance-based weather derivative to hedge cloud risk for solar energy systems," Renewable Energy, Elsevier, vol. 164(C), pages 1230-1243.
    7. Hongyun Han & Ye Jiang, 2019. "Systemic Risks of Climate Events and Households’ Participation in Mariculture Mutual Insurance: A Case Study of Shrimp Producers in Zhejiang Province," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    8. Ming Wang & Tao Ye & Peijun Shi, 2016. "Factors Affecting Farmers’ Crop Insurance Participation in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 479-492, September.
    9. Nadolnyak, Denis A. & Hartarska, Valentina M., 2009. "Weather, Climate, and Agricultural Disaster Payments in the Southeastern U.S," 2009 Conference, August 16-22, 2009, Beijing, China 51802, International Association of Agricultural Economists.
    10. Turvey, Calum G. & Chantarat, Sommarat, 2006. "Weather-Linked Bonds," 2006 Agricultural and Rural Finance Markets in Transition, October 2-3, 2006, Washington, DC 133091, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    11. Å tulec, Ivana & Petljak, Kristina & Naletina, Dora, 2019. "Weather impact on retail sales: How can weather derivatives help with adverse weather deviations?," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 1-10.
    12. Rui Zhou & Johnny Siu-Hang Li & Jeffrey Pai, 2019. "Pricing temperature derivatives with a filtered historical simulation approach," The European Journal of Finance, Taylor & Francis Journals, vol. 25(15), pages 1462-1484, October.
    13. Chen, Shu-Ling & Miranda, Mario J., 2006. "Modeling Yield Distribution In High Risk Counties: Application To Texas Upland Cotton," 2006 Annual meeting, July 23-26, Long Beach, CA 21392, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Jean-Louis Bertrand & Xavier Brusset, 2018. "Managing the financial consequences of weather variability," Journal of Asset Management, Palgrave Macmillan, vol. 19(5), pages 301-315, September.
    15. Bertrand, Jean-Louis & Brusset, Xavier & Fortin, Maxime, 2015. "Assessing and hedging the cost of unseasonal weather: Case of the apparel sector," European Journal of Operational Research, Elsevier, vol. 244(1), pages 261-276.
    16. Musshoff, Oliver & Hirschauer, Norbert, 2008. "Hedging von Mengenrisiken in der Landwirtschaft – Wie teuer dürfen „ineffektive“ Wetterderivate sein?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(05), pages 1-12.
    17. Bougherara, Douadia & Piet, Laurent, 2014. "The Impact of Farmers’ Risk Preferences on the Design of an Individual Yield Crop Insurance," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183082, European Association of Agricultural Economists.
    18. Jr‐Wei Huang & Sharon S. Yang & Chuang‐Chang Chang, 2018. "Modeling temperature behaviors: Application to weather derivative valuation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(9), pages 1152-1175, September.
    19. Zhiwei Shen & Martin Odening, 2013. "Coping with systemic risk in index-based crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 1-13, January.
    20. Coble, Keith H. & Barnett, Barry J., 2008. "Implications of Integrated Commodity Programs and Crop Insurance," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-12, August.

    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:ags:eaa101:9254. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.