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The Time-Dependent Lead-Lag Relationship Between WTI and Brent Crude Oil Spot Markets | |
2020-04-29 | |
发表期刊 | FRONTIERS IN PHYSICS (IF:1.9[JCR-2023],2.5[5-Year]) |
ISSN | 2296-424X |
卷号 | 8 |
发表状态 | 已发表 |
DOI | 10.3389/fphy.2020.00132 |
摘要 | Based on daily returns, we comprehensively characterize the lead-lag relationship between Brent and WTI crude oil spot markets from 1987 to 2017 with the non-parametric symmetric thermal optimal path (TOPS) method. The empirical results indicate that WTI spot price leads Brent spot price slightly, which provides support to the price leadership of WTI over Brent. However, the lead-lag relationship is volatile and sensitive to extreme events like geopolitical conflict and policy shift. Due to the concerns about future oil supply triggered by the two Gulf wars, both WTI and Brent experienced extreme uncertainty and co-moved closely during wartime. Notably, the TOPS method captures the structural break in the WTI-Brent price spread in 2011 which is influenced by the U.S. oil export ban and transportation bottleneck. After the lift of the ban, the two benchmark prices have reconnected. The lead-lag signals basically coincide with major influential changes in the oil markets, which suggests that the TOPS method provides a viable approach to reflecting the impact of extreme events on the crude oil prices motion. |
关键词 | oil prices spot market lead-lag relationship symmetric thermal optimal path WTI Brent extreme events |
URL | 查看原文 |
收录类别 | SCI ; SCIE ; EI ; SSCI |
资助项目 | National Natural Science Foundation of China[11805119] |
WOS研究方向 | Physics |
WOS类目 | Physics, Multidisciplinary |
WOS记录号 | WOS:000536248600001 |
出版者 | FRONTIERS MEDIA SA |
WOS关键词 | NONPARAMETRIC DETERMINATION ; FUTURES ; PERSISTENCE ; PATH ; SERIES |
原始文献类型 | Article |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/121536 |
专题 | 创业与管理学院 创业与管理学院_PI研究组_杨锡怡组 |
通讯作者 | Shao, Yinghui; Song, Xin |
作者单位 | 1.East China Normal Univ, Fac Educ, Shanghai, Peoples R China 2.Shanghai Univ Int Business & Econ, Sch Stat & Informat, Shanghai, Peoples R China 3.Columbia Univ, Grad Sch Arts & Sci, Dept Stat, New York, NY USA 4.Shanghaitech Univ, Sch Entrepreneurship & Management, Shanghai, Peoples R China 5.Univ Shanghai Sci & Technol, Business Sch, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Yanhong,Shao, Yinghui,Shao, Haolin,et al. The Time-Dependent Lead-Lag Relationship Between WTI and Brent Crude Oil Spot Markets[J]. FRONTIERS IN PHYSICS,2020,8. |
APA | Yang, Yanhong,Shao, Yinghui,Shao, Haolin,&Song, Xin.(2020).The Time-Dependent Lead-Lag Relationship Between WTI and Brent Crude Oil Spot Markets.FRONTIERS IN PHYSICS,8. |
MLA | Yang, Yanhong,et al."The Time-Dependent Lead-Lag Relationship Between WTI and Brent Crude Oil Spot Markets".FRONTIERS IN PHYSICS 8(2020). |
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