The Time-Varying Connectedness Between China's Crude Oil Futures and International Oil Markets: A Return and Volatility Spillover Analysis.

IF 1.8 Q2 GEOGRAPHY Letters in Spatial and Resource Sciences Pub Date : 2022-01-01 Epub Date: 2021-11-02 DOI:10.1007/s12076-021-00288-z
Jiasha Fu, Hui Qiao
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Abstract

This paper examines the relationship between world crude oil markets following the introduction of Shanghai crude oil futures from the perspective of network connectedness based on the vector autoregressive model. The connectedness measurement method proposed by Diebold and Yilmaz (Econ J 119(534):158-171, 2009, Int J Forecast 28(1):57-66, 2012. 10.1016/j.ijforecast.2011.02.006, J Econom 182(1):119-134, 2014. 10.1016/j.jeconom.2014.04.012) is adopted to study a time-varying interdependence relationship. The empirical results show that the world crude oil markets exhibit a high degree of integration from both returns and volatility; however, the direction and magnitude contributed by each market varies significantly. Specifically, the West Texas Intermediate futures and Brent spot and futures markets were found to have the highest contributions to the world oil market over the entire sample period and take leading roles, whereas Dubai futures market was found to be the most important receiver, and has received the most spillover from other markets and passed it throughout the system. Shanghai crude oil futures is not yet highly connected with other markets. Moreover, heterogeneous changes in the direction, intensity, and persistence of the spillover were observed across markets after the outbreak of the COVID-19 pandemic in 2020. This study reveals the integration level of Shanghai crude oil futures and the dynamics of linkages between regional crude oil markets, which is of great significance for market participants, policymakers, and future researchers.

Supplementary information: The online version contains supplementary material available at 10.1007/s12076-021-00288-z.

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中国原油期货与国际石油市场之间的时变关联性:回报与波动溢出分析》。
本文基于向量自回归模型,从网络关联性的角度研究了上海原油期货推出后世界原油市场之间的关系。Diebold和Yilmaz提出的连通性测量方法(Econ J 119(534):158-171, 2009, Int J Forecast 28(1):57-66, 2012.10.1016/j.ijforecast.2011.02.006, J Econom 182(1):119-134, 2014.10.1016/j.jeconom.2014.04.012)来研究时变相互依存关系。实证结果表明,世界原油市场无论从收益率还是波动率来看,都表现出高度的一体化;然而,各市场贡献的方向和幅度却有很大差异。具体而言,西德克萨斯中质原油期货市场和布伦特原油现货及期货市场在整个样本期间对世界原油市场的贡献最大,起着主导作用;而迪拜原油期货市场则是最重要的接收者,接收了最多来自其他市场的溢出效应并在整个系统中传递。上海原油期货与其他市场的关联度还不高。此外,在 2020 年 COVID-19 疫情爆发后,各市场的溢出方向、强度和持续性发生了异质性变化。本研究揭示了上海原油期货的一体化水平和区域原油市场之间的动态联系,对市场参与者、政策制定者和未来研究者具有重要意义:在线版本包含补充材料,可查阅 10.1007/s12076-021-00288-z。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
11.10%
发文量
30
期刊介绍: Letters in Spatial and Resource Sciences (LSRS) publishes high-quality, shorter papers on new theoretical or empirical results and on models and methods in the social sciences that contain a spatial dimension. Coverage includes environmental and resource economics, regional and urban economics, spatial econometrics, regional science, geography, demography, agricultural economics, GIS and city and regional planning. Examples of topics include, but are not limited to, environmental damage, urbanization, resource allocation, spatial-temporal data use, regional economic development and the application of existing and new methodologies.LSRS contributes to the communication of theories and methodologies across disciplinary borders. It offers quick dissemination and easy accessibility of new results. Officially cited as: Lett Spat Resour Sci
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