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Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the underlying Weather Index

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  • Sun, Baojing

Abstract

The focus in this study is on estimating the underlying weather index for pricing financial derivatives to hedge weather risks in crop production. Different index estimation methods for growing degree days (GDDs) are compared. In particular, daily average temperatures for deriving GDDs are simulated using an econometric model and a stochastic process that uses three methods to estimate the mean-reversion parameter. Finally, the historical approach based on a five-year moving average of GDDs is compared with the econometric and stochastic models. Results indicate that econometric model provides the best fit, followed by the the historical average method and then the stochastic process with a high mean reversion parameter. Premiums from the econometric model with sine function and historical average approaches are closer to those based on realized weather values compared with the stochastic approach. Therefore, the econometric model with sine function and the historical average approach provide better pricing estimates than other methods.

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  • Sun, Baojing, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the underlying Weather Index," Working Papers 263197, University of Victoria, Resource Economics and Policy.
    • Handle: RePEc:ags:uvicwp:263197
    DOI: 10.22004/ag.econ.263197
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    1. 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.
    2. 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.
    3. Ahmet Goncu, 2011. "Pricing temperature-based weather contracts: an application to China," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1349-1354.
    4. Wolfram Schlenker & Michael J. Roberts, 2008. "Estimating the Impact of Climate Change on Crop Yields: The Importance of Nonlinear Temperature Effects," NBER Working Papers 13799, National Bureau of Economic Research, Inc.
    5. 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.
    6. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    7. Dorje Brody & Joanna Syroka & Mihail Zervos, 2002. "Dynamical pricing of weather derivatives," Quantitative Finance, Taylor & Francis Journals, vol. 2(3), pages 189-198.
    8. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-17, December.
    9. Calum G. Turvey, 2001. "Weather Derivatives for Specific Event Risks in Agriculture," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 23(2), pages 333-351.
    10. Hung‐Hsi Huang & Yung‐Ming Shiu & Pei‐Syun Lin, 2008. "HDD and CDD option pricing with market price of weather risk for Taiwan," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(8), pages 790-814, August.
    11. Turvey, Calum G. & Kong, Rong & Belltawn, Burgen, 2009. "Weather Risk and the Viability of Weather Insurance In Western China," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49362, Agricultural and Applied Economics Association.
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