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The Co-movement between Non-GM and GM Soybean Price in China: Evidence from China Futures Market

Author

Listed:
  • Wang, Nanying
  • Houston, Jack E.
Abstract
The price variability of agricultural commodities reached record levels in 2008, and again more recently in 2010, raising concerns about this increased price volatility would be temporal or structural. The Chinese soybean futures market is the second largest in the world in terms of trading volume. There are two soybean futures contracts in China: non-GM and GM. This study examines the volatility determinants as well as seasonality of non-GM and GM soybean futures prices traded in Dalian Commodity Exchange from 2005 to 2014. Also, we test the co-movement between these two soybeans markets. We analyze the volatility by incorporating changes in important economic variables into the Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedastic (DCC-GARCH) model. This research provides statistical evidence that the futures prices of soybeans in China are being influenced by the increasing consumption of soybeans, the import quantity of soybean, the trading volume in futures market and weather.

Suggested Citation

  • Wang, Nanying & Houston, Jack E., 2015. "The Co-movement between Non-GM and GM Soybean Price in China: Evidence from China Futures Market," 2015 Conference, August 9-14, 2015, Milan, Italy 211914, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:211914
    DOI: 10.22004/ag.econ.211914
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    as
    1. Saghaian, Sayed H., 2010. "The Impact of the Oil Sector on Commodity Prices: Correlation or Causation?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 42(3), pages 477-485, August.
    2. David A. Hennessy & Thomas I. Wahl, 1996. "The Effects of Decision Making on Futures Price Volatility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 591-603.
    3. Karali, Berna & Thurman, Walter N., 2010. "Components of Grain Futures Price Volatility," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-16, August.
    4. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    5. Du, Xiaodong & Hayes, Dermot J., 2009. "The impact of ethanol production on US and regional gasoline markets," Energy Policy, Elsevier, vol. 37(8), pages 3227-3234, August.
    6. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    7. Brown, Philip & Mitchell, Jason, 2008. "Culture and stock price clustering: Evidence from The Peoples' Republic of China," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 95-120, January.
    8. repec:dau:papers:123456789/14980 is not listed on IDEAS
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Robert J. Myers & Steven D. Hanson, 1993. "Pricing Commodity Options when the Underlying Futures Price Exhibits Time-Varying Volatility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 121-130.
    11. Chan, Kam C. & Fung, Hung-Gay & Leung, Wai K., 2004. "Daily volatility behavior in Chinese futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(5), pages 491-505, December.
    12. Chiang, Thomas C. & Jeon, Bang Nam & Li, Huimin, 2007. "Dynamic correlation analysis of financial contagion: Evidence from Asian markets," Journal of International Money and Finance, Elsevier, vol. 26(7), pages 1206-1228, November.
    13. Silvennoinen, Annastiina & Thorp, Susan, 2013. "Financialization, crisis and commodity correlation dynamics," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 42-65.
    14. Steen Koekebakker & Gudbrand Lien, 2004. "Volatility and Price Jumps in Agricultural Futures Prices—Evidence from Wheat Options," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1018-1031.
    15. Xiaodong Du & Dermot J. Hayes, 2008. "Impact of Ethanol Production on U.S. and Regional Gasoline Prices and on the Profitability of the U.S. Oil Refinery Industry, The," Center for Agricultural and Rural Development (CARD) Publications 08-wp467, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    16. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
    17. Chen, Sheng-Tung & Kuo, Hsiao-I & Chen, Chi-Chung, 2010. "Modeling the relationship between the oil price and global food prices," Applied Energy, Elsevier, vol. 87(8), pages 2517-2525, August.
    18. B. Adrangi & A. Chatrath, 2003. "Non-linear dynamics in futures prices: evidence from the coffee, sugar and cocoa exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 13(4), pages 245-256.
    19. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
    20. Barry K. Goodwin & Randy Schnepf, 2000. "Determinants of endogenous price risk in corn and wheat futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(8), pages 753-774, September.
    21. Hung‐Gay Fung & Gary A. Patterson, 2001. "Volatility, global information, and market conditions: a study in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(2), pages 173-196, February.
    22. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    23. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    24. Silvo Dajcman, 2012. "Time-varying long-range dependence in stock market returns and financial market disruptions -- a case of eight European countries," Applied Economics Letters, Taylor & Francis Journals, vol. 19(10), pages 953-957, July.
    25. Seung‐Ryong Yang & B. Wade Brorsen, 1993. "Nonlinear dynamics of daily futures prices: Conditional heteroskedasticity or chaos?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(2), pages 175-191, April.
    26. Bali, Turan G. & Engle, Robert F., 2010. "The intertemporal capital asset pricing model with dynamic conditional correlations," Journal of Monetary Economics, Elsevier, vol. 57(4), pages 377-390, May.
    27. Yang, Jian & Zhou, Yinggang & Wang, Zijun, 2009. "The stock-bond correlation and macroeconomic conditions: One and a half centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 670-680, April.
    28. Cai, Yijie & Chou, Ray Yeutien & Li, Dan, 2009. "Explaining international stock correlations with CPI fluctuations and market volatility," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2026-2035, November.
    29. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    30. Chatrath, Arjun & Adrangi, Bahram & Dhanda, Kanwalroop Kathy, 2002. "Are commodity prices chaotic?," Agricultural Economics, Blackwell, vol. 27(2), pages 123-137, August.
    31. David Kenyon & Kenneth Kling & Jim Jordan & William Seale & Nancy McCabe, 1987. "Factors affecting agricultural futures price variance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(1), pages 73-91, February.
    32. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Naveen Musunuru, 2016. "Examining Volatility Persistence and News Asymmetry in Soybeans Futures Returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(4), pages 487-500, December.

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