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Risk contagions between global oil markets and China’s agricultural commodity markets under structural breaks

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  • Jiawen Luo
  • Qun Zhang

Abstract

This article investigates the linear and non-linear dependence structures of risk contagions between global crude oil futures markets and China’s agricultural futures markets based on a regime switching skew-normal (RSSN) model. We examine the oil-agriculture relationships and identify the contagion channels under the calm and turbulent oil market conditions. The directions of contagions are further identified with the directed acyclic graph (DAG) from the linear non-Gaussian acyclic models algorithm. The empirical results of contagions tests show the significance of correlation and covariance contagions across the oil and agriculture futures returns, especially under the turbulent oil market condition. The breaks in the variances through the moment-based break tests are found to be most significant, followed by the mean and skewness breaks. In addition, the DAG results support the volatility contagions from world oil future markets to China’s agricultural commodity futures markets. Our empirical results have important policy implications for the government to take effective measures to stabilize China’s commodity market and promote the development of alternative energy in China, as well as for market participants to best manage the market risks.

Suggested Citation

  • Jiawen Luo & Qun Zhang, 2021. "Risk contagions between global oil markets and China’s agricultural commodity markets under structural breaks," Applied Economics, Taylor & Francis Journals, vol. 53(5), pages 628-649, January.
    • Handle: RePEc:taf:applec:v:53:y:2021:i:5:p:628-649
    DOI: 10.1080/00036846.2020.1808577
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    Cited by:

    1. Qi, Haozhi & Wu, Tiantian & Chen, Hao & Lu, Xiuling, 2023. "Time-frequency connectedness and cross-quantile dependence between carbon emission trading and commodity markets: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    2. Khalfaoui, Rabeh & Shahzad, Umer & Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2023. "Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 63-80.
    3. Zhuo Chen & Bo Yan & Hanwen Kang, 2022. "Dynamic correlation between crude oil and agricultural futures markets," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1798-1849, August.
    4. Cui, Jinxin & Maghyereh, Aktham & Goh, Mark & Zou, Huiwen, 2022. "Risk spillovers and time-varying links between international oil and China’s commodity futures markets: Fresh evidence from the higher-order moments," Energy, Elsevier, vol. 238(PB).
    5. Liya Hau & Huiming Zhu & Muhammad Shahbaz & Ke Huang, 2023. "Quantile Dependence between Crude Oil and China’s Biofuel Feedstock Commodity Market," Sustainability, MDPI, vol. 15(11), pages 1-17, June.

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