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Hedging crop risk with yield insurance futures and options

Author

Listed:
  • I Mahul
  • D Vermersch

Abstract

This paper analyses the optimal hedging decisions for risk-averse producers facing crop risk, assuming crop yield insurance futures and options are available. The first-best optimal hedge requires either a futures position or an option position proportional to the regression coefficient of individual yield on aggregate yield depending on whether the financial markets are unbiased or biased. Using yield data for a sample of wheat producers in France, the producers' hedge ratios are derived. The individual crop risk is shown usually to contain a large systemic component. These new hedging instruments are usually more effective to reduce farm yield variability than individual yield contracts. Copyright 2000, Oxford University Press.

Suggested Citation

  • I Mahul & D Vermersch, 2000. "Hedging crop risk with yield insurance futures and options," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(2), pages 109-126, June.
    • Handle: RePEc:oup:erevae:v:27:y:2000:i:2:p:109-126
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    Cited by:

    1. Jean Cordier, 2001. "Assurance, marchés financiers et politique publique," Économie rurale, Programme National Persée, vol. 266(1), pages 109-118.
    2. Geoffroy Enjolras & Robert Kast & Patrick Sentis, 2009. "Diversification in Area-Yield Crop Insurance : The Multi Linear Additive Model," Working Papers 09-15, LAMETA, Universtiy of Montpellier, revised Nov 2009.
    3. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    4. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    5. Pelka, Niels & Mußhoff, Oliver, 2013. "Das Risikoreduzierungspotenzial von Wetterderivaten im Ackerbau: Einfachindizes versus Mischindizes," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 62(4).
    6. Bokusheva, R. & Breustedt, G. & Heidelbach, O., 2007. "Reducing asymmetric information by alternative crop insurance schemes – Testing risk reduction of individual and index-based contracts," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    7. Bokusheva, Raushan & Breustedt, Gunnar & Heidelbach, Olaf, 2006. "Measurement and Comparison of Risk Reduction by Means of Farm Yield, Area Yield, and Weather Index Crop Insurance Schemes - The Case of Kazakhstani Wheat Farms," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25523, International Association of Agricultural Economists.
    8. Nyassoke Titi Gaston Clément & Jules Sadefo-Kamdem & Louis Aimé Fono, 2019. "Dynamic Optimal Hedge Ratio Design when Price and Production are stochastic with Jump," Working Papers hal-02417401, HAL.
    9. Banterle, Alessandro & Vandone, Daniela, 2013. "Price Volatility and Risk Management: The Case of Rice," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164766, International European Forum on System Dynamics and Innovation in Food Networks.
    10. Pelka, Niels & Mußhoff, Oliver, 2013. "Das Risikoreduzierungspotenzial von Wetterderivaten im Ackerbau: Einfachindizes versus Mischindizes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-13, November.
    11. Wong, Kit Pong, 2012. "Production and insurance under regret aversion," Economic Modelling, Elsevier, vol. 29(4), pages 1154-1160.
    12. Baoling Zou & Zanjie Ren & Ashok K. Mishra & Stefan Hirsch, 2022. "The role of agricultural insurance in boosting agricultural output: An aggregate analysis from Chinese provinces," Agribusiness, John Wiley & Sons, Ltd., vol. 38(4), pages 923-945, October.
    13. Hau, Arthur, 2006. "Production under uncertainty with insurance or hedging," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 347-359, April.
    14. Alessandro Banterle & Daniela Vandone, 2019. "Price volatility and risk management: The case of rice in the EU," Economia agro-alimentare, FrancoAngeli Editore, vol. 21(2), pages 255-274.
    15. Bokusheva, Raushan & Breustedt, Gunnar, 2012. "The Effectiveness of Weather-Based Index Insurance and Area-Yield Crop Insurance: How Reliable are ex post Predictions for Yield Risk Reduction?," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(2), pages 1-22, May.
    16. Robert Kast, 2011. "Managing financial risks due to natural catastrophes," Working Papers hal-00610241, HAL.
    17. Bokusheva, Raushan & Breustedt, Gunnar & Heidelbach, Olaf, 2007. "Ex-ante evaluation of weather-based index insurance and area-yield insurance for reducing crop yield risk," 101st Seminar, July 5-6, 2007, Berlin Germany 9250, European Association of Agricultural Economists.
    18. Barry Smit & Mark Skinner, 2002. "Adaptation options in agriculture to climate change: a typology," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 7(1), pages 85-114, March.
    19. Nyassoke Titi Gaston Clément & Sadefo Kamdem Jules & Fono Louis Aimé, 2022. "Dynamic optimal hedge ratio design when price and production are stochastic with jump," Annals of Finance, Springer, vol. 18(3), pages 419-428, September.
    20. Pelka, Niels & Mußhoff, Oliver, 2015. "Das Risikoreduzierungspotenzial von Wetterindexversicherungen im Agribusiness – Die Bedeutung des Aggregationsniveaus von Ertragszeitreihen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(02), June.

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