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Price discovery in chinese agricultural futures markets: A comprehensive look

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  • Jian Yang
  • Zheng Li
  • Tao Wang

Abstract

This study investigates price discovery performance for the 11 most traded agricultural commodity futures in China, proposing an improved recursive cointegration analysis. Despite a relatively short trading history and being subject to various policy interventions, China's agricultural futures markets generally play a more dominant role in the price discovery process as the markets become mature, even with further allowance for time variations and regional variations in the price discovery process. Additional analysis reveals various determinants of the contribution of futures versus local cash market prices in the price discovery process. There may also be seriously misleading inferences drawn from using nearby futures data in China.

Suggested Citation

  • Jian Yang & Zheng Li & Tao Wang, 2021. "Price discovery in chinese agricultural futures markets: A comprehensive look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 536-555, April.
    • Handle: RePEc:wly:jfutmk:v:41:y:2021:i:4:p:536-555
    DOI: 10.1002/fut.22179
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    1. Jian Yang & David A. Bessler & David J. Leatham, 2001. "Asset storability and price discovery in commodity futures markets: A new look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(3), pages 279-300, March.
    2. Chen, Yu-Lun & Gau, Yin-Feng, 2010. "News announcements and price discovery in foreign exchange spot and futures markets," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1628-1636, July.
    3. Jian Yang & Zihui Yang & Yinggang Zhou, 2012. "Intraday price discovery and volatility transmission in stock index and stock index futures markets: Evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(2), pages 99-121, February.
    4. Philip Garcia & Scott H. Irwin & Aaron Smith, 2015. "Futures Market Failure?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 40-64.
    5. Juan Cabrera & Tao Wang & Jian Yang, 2009. "Do futures lead price discovery in electronic foreign exchange markets?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(2), pages 137-156, February.
    6. Crain, Susan J & Lee, Jae Ha, 1996. "Volatility in Wheat Spot and Futures Markets, 1950-1993: Government Farm Programs, Seasonality, and Causality," Journal of Finance, American Finance Association, vol. 51(1), pages 325-343, March.
    7. Philipp Adämmer & Martin T. Bohl & Christian Gross, 2016. "Price Discovery in Thinly Traded Futures Markets: How Thin is Too Thin?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(9), pages 851-869, September.
    8. Zapata, Hector O & Rambaldi, Alicia N, 1997. "Monte Carlo Evidence on Cointegration and Causation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(2), pages 285-298, May.
    9. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    10. Cheol S. Eun & Sanjiv Sabherwal, 2003. "Cross‐Border Listings and Price Discovery: Evidence from U.S.‐Listed Canadian Stocks," Journal of Finance, American Finance Association, vol. 58(2), pages 549-575, April.
    11. Gordon C. Rausser & James A. Chalfant & H. Alan Love & Kostas G. Stamoulis, 1986. "Macroeconomic Linkages, Taxes, and Subsidies in the U.S. Agricultural Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 399-412.
    12. Zhige Wu & Alex Maynard & Alfons Weersink & Getu Hailu, 2018. "Asymmetric spot‐futures price adjustments in grain markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1549-1564, December.
    13. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    14. Yunxian Yan & Michael Reed, 2014. "Price Discovery in the Chinese Corn Futures Market, With Comparisons to Soybean Futures," Agribusiness, John Wiley & Sons, Ltd., vol. 30(4), pages 398-409, September.
    15. Gordon C. Rausser & James A. Chalfant & H. Alan Love & Kostas G. Stamoulis, 1986. "Macroeconomic Linkages, Taxes, and Subsidies in the U.S. Agricultural Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 399-412.
    16. Wright, Brian D & Williams, Jeffrey C, 1982. "The Economic Role of Commodity Storage," Economic Journal, Royal Economic Society, vol. 92(367), pages 596-614, September.
    17. Henrik Hansen & Søren Johansen, 1999. "Some tests for parameter constancy in cointegrated VAR-models," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 306-333.
    18. Fung, Hung-Gay & Leung, Wai K & Xu, Xiaoqing Eleanor, 2003. "Information Flows between the U.S. and China Commodity Futures Trading," Review of Quantitative Finance and Accounting, Springer, vol. 21(3), pages 267-285, November.
    19. Michael Sockin & Wei Xiong, 2015. "Informational Frictions and Commodity Markets," Journal of Finance, American Finance Association, vol. 70(5), pages 2063-2098, October.
    20. Cheol S. Eun & Sanjiv Sabherwal, 2003. "Cross-Border Listings and Price Discovery: Evidence from U.S.-Listed Canadian Stocks," Journal of Finance, American Finance Association, vol. 58(2), pages 549-576, April.
    21. Colin A. Carter & Sandeep Mohapatra, 2008. "How Reliable Are Hog Futures as Forecasts?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 367-378.
    22. John Hua Fan & Tingxi Zhang, 2020. "The untold story of commodity futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 671-706, April.
    23. Pirrong, Stephen Craig, 1993. "Manipulation of the Commodity Futures Market Delivery Process," The Journal of Business, University of Chicago Press, vol. 66(3), pages 335-369, July.
    24. Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.
    25. Xu, Yuanyuan & Pan, Fanghui & Wang, Chuanmei & Li, Jian, 2019. "Dynamic Price Discovery Process of Chinese Agricultural Futures Markets: An Empirical Study Based on the Rolling Window Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(4), pages 664-681, November.
    26. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    27. Philipp Adämmer & Martin T. Bohl, 2018. "Price discovery dynamics in European agricultural markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(5), pages 549-562, May.
    28. Brenner, Robin J. & Kroner, Kenneth F., 1995. "Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 23-42, March.
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    Cited by:

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    2. Dai, Yun-Shi & Huynh, Ngoc Quang Anh & Zheng, Qing-Huan & Zhou, Wei-Xing, 2022. "Correlation structure analysis of the global agricultural futures market," Research in International Business and Finance, Elsevier, vol. 61(C).
    3. Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.
    4. Chen, Bin-xia & Sun, Yan-lin, 2022. "The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    5. Qianqian Mao & Jens-Peter Loy & Thomas Glauben & Yanjun Ren, . "Are futures markets functioning well for agricultural perishables? Evidence from China's apple futures market," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 0.
    6. Qianqian Mao & Jens-Peter Loy & Thomas Glauben & Yanjun Ren, 2023. "Are futures markets functioning well for agricultural perishables? Evidence from China's apple futures market," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(12), pages 471-484.
    7. Fang, Ming & Lin, Yizhou & Chang, Chiu-Lan, 2023. "Positive and negative price bubbles of Chinese agricultural commodity futures," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 456-471.
    8. Lu, Xinjie & Su, Yuandong & Huang, Dengshi, 2023. "Chinese agricultural futures volatility: New insights from potential domestic and global predictors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    9. Xiaojie Xu & Yun Zhang, 2023. "Coking coal futures price index forecasting with the neural network," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 349-359, June.
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    11. Xiaojie Xu & Yun Zhang, 2022. "Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(3), pages 169-181, July.

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