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A Double-Exponential Jump model and its application to risk measure in Wheat spot market

Author

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  • Xiaoying Huang

    (Labex-ReFi & PRISM, University of Paris 1 Pantheon-Sorbonne)

Abstract

This paper considers the complete feature of commodity spot prices for risk measuring. We use a Double-Exponential Jump model to capture the evolution of wheat spot prices from 2004 to 2014 and utilize the estimated model in the calculation of Value-at-Risk. In the modeling of wheat spot prices, the baseline model outperforms all alternative models. In the case of relative high volatile period, there exists risk underestimation of Value-at-Risk with normal distribution hypothesis. It is suggested to take into account jump risk and other special characteristics of prices in the risk management for agricultural cooperatives.

Suggested Citation

  • Xiaoying Huang, 2017. "A Double-Exponential Jump model and its application to risk measure in Wheat spot market," Economics Bulletin, AccessEcon, vol. 37(2), pages 1298-1309.
  • Handle: RePEc:ebl:ecbull:eb-16-00459
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    References listed on IDEAS

    as
    1. Tae-Hwy Lee & Yong Bao & Burak Saltoglu, 2006. "Evaluating predictive performance of value-at-risk models in emerging markets: a reality check," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(2), pages 101-128.
    2. S. G. Kou, 2002. "A Jump-Diffusion Model for Option Pricing," Management Science, INFORMS, vol. 48(8), pages 1086-1101, August.
    3. Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian & Sebastien Mcmahon, 2008. "Forecasting commodity prices: GARCH, jumps, and mean reversion," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 279-291.
    4. Timotheos Angelidis & Stavros Degiannakis, 2007. "Backtesting VaR Models: An Expected Shortfall Approach," Working Papers 0701, University of Crete, Department of Economics.
    5. 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.
    6. Stacie Beck, 2001. "Autoregressive conditional heteroscedasticity in commodity spot prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 115-132.
    7. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(3), pages 318-334, September.
    8. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    9. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    10. Hilliard, Jimmy E. & Reis, Jorge, 1998. "Valuation of Commodity Futures and Options under Stochastic Convenience Yields, Interest Rates, and Jump Diffusions in the Spot," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(1), pages 61-86, March.
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    More about this item

    Keywords

    Double-Exponential jump model; wheat spot price; Agricultural cooperatives; Value-at-Risk;
    All these keywords.

    JEL classification:

    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General

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