原油期货市场可见度图分析:来自2019冠状病毒病大流行和俄罗斯-乌克兰冲突的见解

Ying-Hui Shao, Yan-Hong Yang
{"title":"原油期货市场可见度图分析:来自2019冠状病毒病大流行和俄罗斯-乌克兰冲突的见解","authors":"Ying-Hui Shao, Yan-Hong Yang","doi":"arxiv-2310.18903","DOIUrl":null,"url":null,"abstract":"Drawing inspiration from the significant impact of the ongoing Russia-Ukraine\nconflict and the recent COVID-19 pandemic on global financial markets, this\nstudy conducts a thorough analysis of three key crude oil futures markets: WTI,\nBrent, and Shanghai (SC). Employing the visibility graph (VG) methodology, we\nexamine both static and dynamic characteristics using daily and high-frequency\ndata. We identified a clear power-law decay in most VG degree distributions and\nhighlighted the pronounced clustering tendencies within crude oil futures VGs.\nOur results also confirm an inverse correlation between clustering coefficient\nand node degree and further reveal that all VGs not only adhere to the\nsmall-world property but also exhibit intricate assortative mixing. Through the\ntime-varying characteristics of VGs, we found that WTI and Brent demonstrate\naligned behavior, while the SC market, with its unique trading mechanics,\ndeviates. The 5-minute VGs' assortativity coefficient provides a deeper\nunderstanding of these markets' reactions to the pandemic and geopolitical\nevents. Furthermore, the differential responses during the COVID-19 and\nRussia-Ukraine conflict underline the unique sensitivities of each market to\nglobal disruptions. Overall, this research offers profound insights into the\nstructure, dynamics, and adaptability of these essential commodities markets in\nthe face of worldwide challenges.","PeriodicalId":501372,"journal":{"name":"arXiv - QuantFin - General Finance","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visibility graph analysis of crude oil futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict\",\"authors\":\"Ying-Hui Shao, Yan-Hong Yang\",\"doi\":\"arxiv-2310.18903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drawing inspiration from the significant impact of the ongoing Russia-Ukraine\\nconflict and the recent COVID-19 pandemic on global financial markets, this\\nstudy conducts a thorough analysis of three key crude oil futures markets: WTI,\\nBrent, and Shanghai (SC). Employing the visibility graph (VG) methodology, we\\nexamine both static and dynamic characteristics using daily and high-frequency\\ndata. We identified a clear power-law decay in most VG degree distributions and\\nhighlighted the pronounced clustering tendencies within crude oil futures VGs.\\nOur results also confirm an inverse correlation between clustering coefficient\\nand node degree and further reveal that all VGs not only adhere to the\\nsmall-world property but also exhibit intricate assortative mixing. Through the\\ntime-varying characteristics of VGs, we found that WTI and Brent demonstrate\\naligned behavior, while the SC market, with its unique trading mechanics,\\ndeviates. The 5-minute VGs' assortativity coefficient provides a deeper\\nunderstanding of these markets' reactions to the pandemic and geopolitical\\nevents. Furthermore, the differential responses during the COVID-19 and\\nRussia-Ukraine conflict underline the unique sensitivities of each market to\\nglobal disruptions. Overall, this research offers profound insights into the\\nstructure, dynamics, and adaptability of these essential commodities markets in\\nthe face of worldwide challenges.\",\"PeriodicalId\":501372,\"journal\":{\"name\":\"arXiv - QuantFin - General Finance\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - General Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2310.18903\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - General Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2310.18903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

鉴于持续的俄乌冲突和最近的COVID-19大流行对全球金融市场的重大影响,本研究对WTI、布伦特和上海(SC)这三个主要原油期货市场进行了深入分析。采用可见性图(VG)方法,我们使用日常和高频数据检查静态和动态特性。我们在大多数VG度分布中发现了明显的幂律衰减,并强调了原油期货VG中明显的聚类趋势。我们的研究结果还证实了聚类系数与节点度之间的负相关关系,并进一步揭示了所有的vg不仅坚持小世界属性,而且表现出复杂的分类混合。通过VGs的时变特征,我们发现WTI和Brent表现出一致的行为,而SC市场由于其独特的交易机制而偏离。5分钟VGs的选型系数提供了对这些市场对流行病和地缘政治事件的反应的更深入理解。此外,在2019冠状病毒病和俄罗斯-乌克兰冲突期间的不同反应突显了每个市场对全球动荡的独特敏感性。总的来说,这项研究对这些基本商品市场在面对全球挑战时的结构、动态和适应性提供了深刻的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visibility graph analysis of crude oil futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict
Drawing inspiration from the significant impact of the ongoing Russia-Ukraine conflict and the recent COVID-19 pandemic on global financial markets, this study conducts a thorough analysis of three key crude oil futures markets: WTI, Brent, and Shanghai (SC). Employing the visibility graph (VG) methodology, we examine both static and dynamic characteristics using daily and high-frequency data. We identified a clear power-law decay in most VG degree distributions and highlighted the pronounced clustering tendencies within crude oil futures VGs. Our results also confirm an inverse correlation between clustering coefficient and node degree and further reveal that all VGs not only adhere to the small-world property but also exhibit intricate assortative mixing. Through the time-varying characteristics of VGs, we found that WTI and Brent demonstrate aligned behavior, while the SC market, with its unique trading mechanics, deviates. The 5-minute VGs' assortativity coefficient provides a deeper understanding of these markets' reactions to the pandemic and geopolitical events. Furthermore, the differential responses during the COVID-19 and Russia-Ukraine conflict underline the unique sensitivities of each market to global disruptions. Overall, this research offers profound insights into the structure, dynamics, and adaptability of these essential commodities markets in the face of worldwide challenges.
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
自引率
0.00%
发文量
0
×
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