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Dynamic price discovery in Chinese agricultural futures markets

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  • Li, Miao
  • Xiong, Tao

Abstract

Research has not fully explored how Chinese agricultural futures markets perform their price discovery function over time. Our paper examines the role of Chinese agricultural futures markets in the price discovery process based on three well-established measurements of average price discovery contribution, and more importantly, the dynamic price discovery measurement. Using daily futures and spot prices from fourteen agricultural commodities, we find eleven contracts are efficient in price discovery. Besides, market-oriented changes in policies strengthen the price discovery performance of most futures markets, except for commodities that rely heavily on imports from other countries. Our results also suggest that trading activity is particularly important in determining whether thinly traded contracts are efficient in price discovery. Our paper provides a comprehensive judgment involving both average and dynamic price discovery contribution measurements on assessing the efficiency of Chinese agricultural futures markets. Our results might also serve as a reminder that market-oriented reforms in the spot markets of commodities might be useful to intensify the pricing power of the futures markets.

Suggested Citation

  • Li, Miao & Xiong, Tao, 2021. "Dynamic price discovery in Chinese agricultural futures markets," Journal of Asian Economics, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:asieco:v:76:y:2021:i:c:s1049007821000993
    DOI: 10.1016/j.asieco.2021.101370
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    3. 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).
    4. Tao Xiong & Miao Li, 2024. "A tale of two contracts: Was the SHFE copper futures market disrupted by the listing of INE bonded copper futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 281-301, February.
    5. Qingjie Zhou & Panpan Zhu & You Wu & Yinpeng Zhang, 2022. "Research on the Volatility of the Cotton Market under Different Term Structures: Perspective from Investor Attention," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    6. 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.
    7. 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).
    8. 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.
    9. Liwei Jin & Xianghui Yuan & Li Peiran & Hailun Xu & Feng Lian, 2023. "Option features and price discovery in convertible bonds," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 384-403, March.
    10. Hua, Renhai & Liu, Qingfu & Tse, Yiuman & Yu, Qin, 2023. "The impact of natural disaster risk on the return of agricultural futures," Journal of Asian Economics, Elsevier, vol. 87(C).
    11. 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.
    12. 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.
    13. Liwei Jin & Xianghui Yuan & Shihao Wang & Peiran Li & Feng Lian, 2022. "Trades or quotes: Which drives price discovery? Evidence from Chinese index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2235-2247, December.
    14. 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).
    15. 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.
    16. Rahul Kumar Singh, 2023. "Efficiency of Wheat Futures across APMC Mandis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 681-701, September.
    17. 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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    More about this item

    Keywords

    Price discovery; Chinese agricultural markets; Time-varying vector error correction model; Futures markets;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General

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