揭示中美动态风险溢出效应:来自农产品期货市场的证据

IF 1.8 4区 经济学 Q2 BUSINESS, FINANCE
Han-Yu Zhu, Peng-Fei Dai, Wei-Xing Zhou
{"title":"揭示中美动态风险溢出效应:来自农产品期货市场的证据","authors":"Han-Yu Zhu,&nbsp;Peng-Fei Dai,&nbsp;Wei-Xing Zhou","doi":"10.1002/fut.22551","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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.</p>\n </div>","PeriodicalId":15863,"journal":{"name":"Journal of Futures Markets","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncovering the Sino-US Dynamic Risk Spillovers Effects: Evidence From Agricultural Futures Markets\",\"authors\":\"Han-Yu Zhu,&nbsp;Peng-Fei Dai,&nbsp;Wei-Xing Zhou\",\"doi\":\"10.1002/fut.22551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>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.</p>\\n </div>\",\"PeriodicalId\":15863,\"journal\":{\"name\":\"Journal of Futures Markets\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Futures Markets\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/fut.22551\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Futures Markets","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fut.22551","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

随着经济全球化和农产品金融化的不断推进,不同农产品期货之间的相互联系变得更加紧密。我们利用 TVP-VAR-DY 模型结合量子方法,测算了 2014 年 7 月 9 日至 2022 年 12 月 31 日期间中美 11 种农产品期货之间的风险溢出。我们得出了几个结论。首先,CBOT 玉米、大豆和小麦被认为是主要的风险传递者,DCE 玉米和大豆是主要的风险接收者。其次,突发事件或经济不确定性增加会扩大整体风险溢出效应。第三,基于动态方向性溢出效应,农产品期货之间的风险溢出效应具有聚集性。最后,从溢出网络和最小生成树的结果来看,条件均值下的中心农产品期货是CBOT玉米和大豆,而CZCE硬麦和籼稻是极端情况下的两个风险溢出中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncovering the Sino-US Dynamic Risk Spillovers Effects: Evidence From Agricultural Futures Markets

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Futures Markets
Journal of Futures Markets BUSINESS, FINANCE-
CiteScore
3.70
自引率
15.80%
发文量
91
期刊介绍: The Journal of Futures Markets chronicles the latest developments in financial futures and derivatives. It publishes timely, innovative articles written by leading finance academics and professionals. Coverage ranges from the highly practical to theoretical topics that include futures, derivatives, risk management and control, financial engineering, new financial instruments, hedging strategies, analysis of trading systems, legal, accounting, and regulatory issues, and portfolio optimization. This publication contains the very latest research from the top experts.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信