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Risk Transmission between Chinese and U.S. Agricultural Commodity Futures Markets—A CoVaR Approach

Author

Listed:
  • Yangmin Ke

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, Hubei, China)

  • Chongguang Li

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, Hubei, China)

  • Andrew M. McKenzie

    (Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR 72701, USA)

  • Ping Liu

    (International School of Business & Finance, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China)

Abstract

Commodity futures markets play an important role, through risk management and price discovery, in helping firms make sustainable production and marketing decisions. An important related issue is how pricing signals between futures exchanges impact traders’ risk. We address this issue by shedding light on risk transmission between the most mature (U.S.) and the fastest growing (Chinese) commodity futures markets. Gaining greater insight of risk transmission between these key markets is vitally important to firms engaged in the efficient and sustainable trade of commodities needed to feed the world. We examine the risk transmission between Chinese and U.S. agricultural futures markets for soybean, corn, and sugar with a Copula based conditional value at risk (CoVaR) approach. We find significant upside, and to a lesser extent downside risk transmission, between Chinese and U.S. markets. We confirm the dominant pricing role of U.S. agricultural futures markets while acknowledging the increasing price discovery role performed by Chinese markets. Our results highlight that soybean markets exhibit greater risk transmission than sugar and corn markets. We argue that our findings may be explained by Chinese government policy intervention, and by the large role played by U.S. firms in the underlying cash commodity markets–both in terms of production and trade.

Suggested Citation

  • Yangmin Ke & Chongguang Li & Andrew M. McKenzie & Ping Liu, 2019. "Risk Transmission between Chinese and U.S. Agricultural Commodity Futures Markets—A CoVaR Approach," Sustainability, MDPI, vol. 11(1), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:1:p:239-:d:195131
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. McKenzie, Andrew M. & Ke, Yangmin, 2022. "How do USDA announcements affect international commodity prices?," Journal of Commodity Markets, Elsevier, vol. 28(C).
    3. Zhang, Youwang & Li, Chogguang & Xu, Yuanyuan & Li, Jian, 2020. "An attribution analysis of soybean price volatility in China: global market connectedness or energy market transmission?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 22(1), July.
    4. Han-Yu Zhu & Peng-Fei Dai & Wei-Xing Zhou, 2024. "Uncovering the Sino-US dynamic risk spillovers effects: Evidence from agricultural futures markets," Papers 2403.01745, arXiv.org.
    5. Yong Li & Ziyi Zhang & Tong Niu, 2022. "Two-Way Risk Spillover of Financial and Real Sectors in the Presence of Major Public Emergencies," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    6. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    7. Sergio Adriani David & Claudio M. C. Inácio & José A. Tenreiro Machado, 2019. "Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship," Mathematics, MDPI, vol. 7(9), pages 1-25, August.
    8. Makkonen, Adam & Vallström, Daniel & Uddin, Gazi Salah & Rahman, Md Lutfur & Haddad, Michel Ferreira Cardia, 2021. "The effect of temperature anomaly and macroeconomic fundamentals on agricultural commodity futures returns," Energy Economics, Elsevier, vol. 100(C).
    9. Feng, Yun & Yang, Jie & Huang, Qian, 2023. "Multiscale correlation analysis of Sino-US corn futures markets and the impact of international crude oil price: A new perspective from the multifractal method," Finance Research Letters, Elsevier, vol. 53(C).

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