Uncovering the Sino-US Dynamic Risk Spillovers Effects: Evidence From Agricultural Futures Markets

被引:1
|
作者
Zhu, Han-Yu [1 ]
Dai, Peng-Fei [2 ,3 ]
Zhou, Wei-Xing [1 ,4 ,5 ]
机构
[1] East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China
[2] Wuhan Univ Technol, Sch Management, Wuhan, Peoples R China
[3] Wuhan Univ Technol, Res Inst Digital Governance & Management Decis Inn, Wuhan, Peoples R China
[4] East China Univ Sci & Technol, Res Ctr Econophys, Shanghai, Peoples R China
[5] East China Univ Sci & Technol, Sch Math, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
agricultural futures; risk spillover networks; risk spillovers; spillover index; TVP-VAR-DY; CRUDE-OIL MARKET; VOLATILITY TRANSMISSION; CONNECTEDNESS; ENERGY; FINANCIALIZATION; COMMODITIES; CHINA;
D O I
10.1002/fut.22551
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
With economic globalization and the financialization of agricultural products continuing to advance, the interconnections between different agricultural futures have become closer. We utilize a TVP-VAR-DY model combined with the quantile method to measure the risk spillover between 11 agricultural futures in the United States and China from July 9, 2014, to December 31, 2022. We obtain several findings. First, CBOT corn, soybean, and wheat are identified as the primary risk transmitters, with DCE corn and soybean as the main risk receivers. Second, sudden events or increased economic uncertainty can enlarge the overall risk spillovers. Third, there is an aggregation of risk spillovers amongst agricultural futures based on the dynamic directional spillovers. Lastly, the central agricultural futures under the conditional mean are CBOT corn and soybean, while CZCE hard wheat and long-grained rice are the two risk-spillover centers in extreme cases, as per the results of the spillover network and minimum spanning tree.
引用
收藏
页码:1888 / 1910
页数:23
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