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Cross‐border and cross‐commodity volatility spillover effects of Chinese soybean futures

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  • Sisi Qin
  • Wee‐Yeap Lau

Abstract

This study examines the volatility spillover between the US and China's soybean futures markets, and between China's soybean, soybean oil, and meal futures markets. A synchronization technique is used to overcome the bias from differences in the closing time of two exchanges. On the basis of BEKK‐GARCH and DCC‐GARCH on the data from January 2010 to April 2023, our results indicate that: First, there is a one‐way spillover from the US to China's No.1 soybean futures and a two‐way spillover between the US and No.2 soybean futures. Second, after 2018, the volatility spillovers of No.1 soybean futures declined, while that of No.2 increased significantly. Third, the dynamic conditional correlations confirmed our results that the spillover between No.2 soybean and soymeal, and between No.2 soybean and soyoil futures increased significantly. Our findings demonstrate the leading role of US soybeans in cross‐border trading and the increasing role of No.2 soybeans in cross‐country and cross‐commodity spillover.

Suggested Citation

  • Sisi Qin & Wee‐Yeap Lau, 2023. "Cross‐border and cross‐commodity volatility spillover effects of Chinese soybean futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(12), pages 1836-1852, December.
    • Handle: RePEc:wly:jfutmk:v:43:y:2023:i:12:p:1836-1852
    DOI: 10.1002/fut.22458
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    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. John Galbraith & Aman Ullah & Victoria Zinde-Walsh, 2002. "Estimation Of The Vector Moving Average Model By Vector Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 205-219.
    3. Manuel A. Hernandez & Raul Ibarra & Danilo R. Trupkin, 2014. "How far do shocks move across borders? Examining volatility transmission in major agricultural futures markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(2), pages 301-325.
    4. Bruce Jianhe Liu & Yubin Wang & Jingjing Wang & Xin Wu & Shu Zhang, 2015. "Is China the price taker in soybean futures?," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 7(3), pages 389-404, September.
    5. LIN, Xuegui, 2018. "Analysis of Volatility Spillover Effect of Soybean Price between Domestic and International Markets," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 10(01), January.
    6. Bruce Jianhe Liu & Yubin Wang & Jingjing Wang & Xin Wu & Shu Zhang, 2015. "Is China the price taker in soybean futures?," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 7(3), pages 389-404, September.
    7. Liu, Qingfu & An, Yunbi, 2011. "Information transmission in informationally linked markets: Evidence from US and Chinese commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 778-795, September.
    8. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
    9. David P. Simon, 1999. "The soybean crush spread: Empirical evidence and trading strategies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(3), pages 271-289, May.
    10. Chao Li & Dermot J. Hayes, 2017. "Price Discovery on the International Soybean Futures Markets: A Threshold Co‐Integration Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 52-70, January.
    11. Qingfeng Wilson Liu & Hui He Sono, 2016. "Empirical Properties, Information Flow, and Trading Strategies of China's Soybean Crush Spread," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(11), pages 1057-1075, November.
    12. Huayun Jiang & Neda Todorova & Eduardo Roca & Jen-Je Su, 2017. "Dynamics of volatility transmission between the U.S. and the Chinese agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 49(34), pages 3435-3452, July.
    13. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2016. "Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 96-114.
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