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Spatially-Aggregated Temperature Derivatives: Agricultural Risk Management in China

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  • Lu Zong

    (Department of Mathematical Sciences, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

  • Manuela Ender

    (Department of Business and Social Sciences, Salzburg University of Applied Sciences, Puch/Salzburg 5412, Austria)

Abstract

In this paper, a new form of weather derivative contract, namely the climatic zone-based growth degree-day (GDD) contract, is introduced. The objective is to increase the risk management efficiency in the agricultural sector of China and to reduce the model dimension of multi-regional temperature-based weather derivatives pricing. Since the proposed contract serves as a risk management tool for all of the cities in the same climatic zone, we compare the risk hedging power between the climatic zone-based and the city-based GDD contracts. As a result, we find that the differences between the two types of temperature-based weather contracts are maintained within a certain range.

Suggested Citation

  • Lu Zong & Manuela Ender, 2016. "Spatially-Aggregated Temperature Derivatives: Agricultural Risk Management in China," IJFS, MDPI, vol. 4(3), pages 1-17, September.
  • Handle: RePEc:gam:jijfss:v:4:y:2016:i:3:p:17-:d:77418
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    References listed on IDEAS

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    1. Babcock, Bruce A. & Choi, E. Kwan & Feinerman, Eli, 1993. "Risk And Probability Premiums For Cara Utility Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-8, July.
    2. Baojing Sun & Changhao Guo & G. Cornelis van Kooten, 2014. "Hedging weather risk for corn production in Northeastern China," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 74(4), pages 555-572, October.
    3. Joshua D. Woodard & Philip Garcia, 2008. "Basis risk and weather hedging effectiveness," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 99-117, May.
    4. Frank Schiller & Gerold Seidler & Maximilian Wimmer, 2012. "Temperature models for pricing weather derivatives," Quantitative Finance, Taylor & Francis Journals, vol. 12(3), pages 489-500, March.
    5. Niels Pelka & Oliver Musshoff & Robert Finger, 2014. "Hedging effectiveness of weather index-based insurance in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(2), pages 212-228, April.
    6. Niels Pelka & Oliver Musshoff, 2013. "Hedging effectiveness of weather derivatives in arable farming – is there a need for mixed indices?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 73(2), pages 358-372, July.
    7. Manuela Ender & Ruyuan Zhang, 2015. "Efficiency of weather derivatives for Chinese agriculture industry," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 7(1), pages 102-121, February.
    8. Ostap Okhrin & Martin Odening & Wei Xu, 2013. "Systemic Weather Risk and Crop Insurance: The Case of China," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 351-372, June.
    9. Wolfgang Karl Hardle and Maria Osipenko, 2012. "Spatial Risk Premium on Weather Derivatives and Hedging Weather Exposure in Electricity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    10. 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.
    11. Lu Zong & Manuela Ender, 2014. "Model Comparison for Temperature-Based Weather Derivatives in Mainland China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(S5), pages 68-86, September.
    12. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432.
    13. Leif Erec Heimfarth & Oliver Musshoff, 2011. "Weather index‐based insurances for farmers in the North China Plain," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 218-239, August.
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