IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/8624.html
   My bibliography  Save this article

Managing Dairy Profit Risk Using Weather Derivatives

Author

Listed:
  • Chen, Gang
  • Roberts, Matthew C.
  • Thraen, Cameron S.

Abstract

Weather conditions are a primary source of dairy production risk. Hot and humid weather induces heat stress, which reduces lactation. Heat abatement, such as ventilation, directly affects the temperature and humidity. Abatement can increase expected profit, but cannot eliminate the lost revenue caused by heat stress. Weather derivatives can reduce weather-induced profit risk and act as a substitute for abatement at the margin. We test the risk management value of weather derivatives in a utility-maximization framework. The result is that weather derivatives can expand the efficient portfolio frontier. Simultaneously using the weather derivatives and abatement equipment is more favorable than using either alone.

Suggested Citation

  • Chen, Gang & Roberts, Matthew C. & Thraen, Cameron S., 2006. "Managing Dairy Profit Risk Using Weather Derivatives," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-14, December.
  • Handle: RePEc:ags:jlaare:8624
    DOI: 10.22004/ag.econ.8624
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/8624/files/31030653.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.8624?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. Sean D. Campbell & Francis X. Diebold, 2005. "Weather Forecasting for Weather Derivatives," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 6-16, March.
    2. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    3. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Raucci, Gian Lucca & Silveira, Rodrigo Lanna F. & Capitani, Daniel H D, 2018. "Development Of Weather Derivatives: Evidence From Brazilian Soybean Market," 2018 Annual Meeting, August 5-7, Washington, D.C. 274105, Agricultural and Applied Economics Association.
    2. Haruyoshi Ito & Jing Ai & Akihiko Ozawa, 2016. "Managing Weather Risks: The Case of J. League Soccer Teams in Japan," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(4), pages 877-912, December.
    3. Tonsor, Glynn T., 2008. "Hedging in Presence of Market Access Risk," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37621, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Vroege, Willemijn & Dalhaus, Tobias & Wauters, Erwin & Finger, Robert, 2023. "Effects of extreme heat on milk quantity and quality," Agricultural Systems, Elsevier, vol. 210(C).
    5. 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.
    6. Deng, Xiaohui & Barnett, Barry J. & Hoogenboom, Gerrit & Yu, Yingzhuo & Garcia, Axel, 2006. "Evaluating the Efficiency of Crop Index Insurance Products," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35333, Southern Agricultural Economics Association.
    7. Musshoff, Oliver & Odening, Martin & Xu, Wei, 2005. "Zur Bewertung von Wetterderivaten als innovative Risikomanagementinstrumente in der Landwirtschaft," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 54(04), pages 1-13.
    8. Ivana STULEC & Kristina PETLJAK & Tomislav BAKOVIC, 2016. "Effectiveness of weather derivatives as a hedge against the weather risk in agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(8), pages 356-362.

    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. Musshoff, Oliver & Odening, Martin & Xu, Wei, 2005. "Zur Bewertung von Wetterderivaten als innovative Risikomanagementinstrumente in der Landwirtschaft," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 54(04), pages 1-13.
    2. Hélène Hamisultane, 2008. "Which Method for Pricing Weather Derivatives ?," Working Papers halshs-00355856, HAL.
    3. Kartono, Agus & Solekha, Siti & Sumaryada, Tony & Irmansyah,, 2021. "Foreign currency exchange rate prediction using non-linear Schrödinger equations with economic fundamental parameters," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    4. René Garcia & Richard Luger & Eric Renault, 2000. "Asymmetric Smiles, Leverage Effects and Structural Parameters," Working Papers 2000-57, Center for Research in Economics and Statistics.
    5. 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.
    6. Leonid Kogan & Stephen A. Ross & Jiang Wang & Mark M. Westerfield, 2006. "The Price Impact and Survival of Irrational Traders," Journal of Finance, American Finance Association, vol. 61(1), pages 195-229, February.
    7. Niehaus, Frank, 2001. "The Influence of Heterogeneous Preferences on Asset Prices in an Incomplete Market Model," Hannover Economic Papers (HEP) dp-234, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    8. Nan Chen & S. G. Kou, 2009. "Credit Spreads, Optimal Capital Structure, And Implied Volatility With Endogenous Default And Jump Risk," Mathematical Finance, Wiley Blackwell, vol. 19(3), pages 343-378, July.
    9. Bertsimas, Dimitris. & Kogan, Leonid, 1974- & Lo, Andrew W., 1997. "Pricing and hedging derivative securities in incomplete markets : an e-arbitrage approach," Working papers WP 3973-97., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    10. Ait-Sahalia, Yacine & Lo, Andrew W., 2000. "Nonparametric risk management and implied risk aversion," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 9-51.
    11. Ang, Andrew & Liu, Jun, 2007. "Risk, return, and dividends," Journal of Financial Economics, Elsevier, vol. 85(1), pages 1-38, July.
    12. F. Fornari & A. Mele, 1998. "ARCH Models and Option Pricing : The Continuous Time Connection," THEMA Working Papers 98-30, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    13. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    14. Ciprian Necula, 2008. "Asset Pricing in a Two-Country Discontinuous General Equilibrium Model," Advances in Economic and Financial Research - DOFIN Working Paper Series 24, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    15. Bernard Dumas, "undated". "Perishable Investment and Hysteresis in Capital Formation," Rodney L. White Center for Financial Research Working Papers 44-88, Wharton School Rodney L. White Center for Financial Research.
    16. 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.
    17. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    18. Joe Akira Yoshino, 2003. "Market Risk and Volatility in the Brazilian Stock Market," Journal of Applied Economics, Universidad del CEMA, vol. 6, pages 385-403, November.
    19. Bakshi, Gurdip S. & Zhiwu, Chen, 1997. "An alternative valuation model for contingent claims," Journal of Financial Economics, Elsevier, vol. 44(1), pages 123-165, April.
    20. Vedolin, Andrea, 2012. "Uncertainty and leveraged Lucas Trees: the cross section of equilibrium volatility risk premia," LSE Research Online Documents on Economics 43091, London School of Economics and Political Science, LSE Library.

    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:jlaare:8624. 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/waeaaea.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.