{"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}
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.