IDEAS home Printed from https://ideas.repec.org/p/ags/eaa101/9262.html
   My bibliography  Save this paper

Willingness to Pay for Weather Derivatives by Australian Wheat Farmers

Author

Listed:
  • Simmons, Phil
  • Edwards, Miriam
  • Byrnes, Joel

Abstract

A theoretical optimal hedging model is developed to determine potential demand from Australian farmers for a hedging tool to remove the economic consequences of climate related variability in wheat yield. In the past, financial instruments have been developed to hedge price risk on capital markets; however, in more recent times new financial instruments, weather derivatives, have been developing that hedge the volumetric risk associated with unfavourable weather. Weather derivatives have the ability to effectively hedge weather related volume risk for the agricultural, mining, energy and manufacturing industries, while also providing a risk management tool for construction firms and special events organisers, although there are still many hurdles to implementing agricultural weather derivative contracts in Australia. The optimal hedging ratio is found to be quite sensitive to the degree of risk aversion of the farmer and to the cost of obtaining the contracts.

Suggested Citation

  • Simmons, Phil & Edwards, Miriam & Byrnes, Joel, 2007. "Willingness to Pay for Weather Derivatives by Australian Wheat Farmers," 101st Seminar, July 5-6, 2007, Berlin Germany 9262, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa101:9262
    DOI: 10.22004/ag.econ.9262
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/9262/files/sp07si01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.9262?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
    ---><---

    References listed on IDEAS

    as
    1. Peter Alaton & Boualem Djehiche & David Stillberger, 2002. "On modelling and pricing weather derivatives," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(1), pages 1-20.
    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. Lunina, Veronika, 2016. "Joint Modelling of Power Price, Temperature, and Hydrological Balance with a View towards Scenario Analysis," Working Papers 2016:30, Lund University, Department of Economics.
    2. Xu, Wei & Odening, Martin & Musshoff, Oliver, 2007. "Indifference Pricing of Weather Insurance," 101st Seminar, July 5-6, 2007, Berlin Germany 9267, European Association of Agricultural Economists.
    3. Ahmet Göncü, 2013. "Comparison of temperature models using heating and cooling degree days futures," Journal of Risk Finance, Emerald Group Publishing, vol. 14(2), pages 159-178, February.
    4. Dupuis, Debbie J., 2011. "Forecasting temperature to price CME temperature derivatives," International Journal of Forecasting, Elsevier, vol. 27(2), pages 602-618, April.
    5. Jerzy Filar & Boda Kang & Malgorzata Korolkiewicz, 2008. "Pricing Financial Derivatives on Weather Sensitive Assets," Research Paper Series 223, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Samuel Asante Gyamerah & Philip Ngare & Dennis Ikpe, 2018. "Regime-Switching Temperature Dynamics Model for Weather Derivatives," International Journal of Stochastic Analysis, Hindawi, vol. 2018, pages 1-15, July.
    7. Wolfgang Karl Härdle & Brenda López Cabrera, 2012. "The Implied Market Price of Weather Risk," Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(1), pages 59-95, February.
    8. 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.
    9. Beat Hintermann, 2009. "An Options Pricing Approach for CO2 Allowances in the EU ETS," CEPE Working paper series 09-64, CEPE Center for Energy Policy and Economics, ETH Zurich.
    10. 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.
    11. Hougaard, Jens Leth & Kronborg, Dorte & Smilgins, Aleksandrs, 2017. "Fair division of costs in green energy markets," Energy, Elsevier, vol. 139(C), pages 220-230.
    12. Musshoff, Oliver & Odening, Martin & Xu, Wei, 2006. "Modeling and Hedging Rain Risk," 2006 Annual meeting, July 23-26, Long Beach, CA 21050, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    14. 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.
    15. E. Carkin & S. Chekirov & A. Echimova & C. Johnston & C. Li & V. Secrieru & A. Strelnikova & M. Trier & V. Trubnikov & Э. Каркин & С. Чекиров & А. Екимова & К. Джонстон & К. Ли & В. Секриеру & А. Стре, 2018. "Погодные деривативы в России: страхование фермеров от колебаний температуры // Weather Derivatives in Russia: Farmers’ Insurance against Temperature Fluctuations," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 6(1), pages 29-42.
    16. Benth, Fred Espen & Taib, Che Mohd Imran Che, 2013. "On the speed towards the mean for continuous time autoregressive moving average processes with applications to energy markets," Energy Economics, Elsevier, vol. 40(C), pages 259-268.
    17. Allou Allou Alfonse & José Carlos Trejo García & Miguel Ángel Martínez García, 2018. "Opción climática para la producción de café en México. (Climate Option of Coffee Production in Mexico)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 135-154, October.
    18. Adam Clements & A S Hurn & K A Lindsay, 2008. "Estimating the Payoffs of Temperature-based Weather Derivatives," NCER Working Paper Series 33, National Centre for Econometric Research.
    19. Eirini Konstantinidi & Gkaren Papazian & George Skiadopoulos, 2015. "Modeling the Dynamics of Temperature with a View to Weather Derivatives," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 17, pages 511-544, World Scientific Publishing Co. Pte. Ltd..
    20. Monika Wieczorek-Kosmala, 2020. "Weather Risk Management in Energy Sector: The Polish Case," Energies, MDPI, Open Access Journal, vol. 13(4), pages 1-21, February.

    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:eaa101:9262. 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: . General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.

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