Reassessing the information transmission and pricing influence of Shanghai crude oil futures: A time-varying perspective

被引:2
|
作者
Su, Tong [1 ]
Lin, Boqiang [2 ]
机构
[1] Nanjing Univ, Sch Management & Engn, Nanjing 210008, Jiangsu, Peoples R China
[2] Xiamen Univ, China Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China
关键词
Shanghai crude oil futures (INE); TVP-VAR-DY model; Time-varying Granger causality; Information transmission; Pricing influence; IMPULSE-RESPONSE ANALYSIS; FINANCIALIZATION; CONNECTEDNESS; WTI;
D O I
10.1016/j.eneco.2024.107977
中图分类号
F [经济];
学科分类号
02 ;
摘要
The Shanghai crude oil futures market, known as INE, has achieved significant success in trading volume and is increasingly recognized as a nascent crucial oil futures contract. As INE aims to serve as a pivotal global pricing reference, evaluating the dynamic characteristics of its pricing capability is essential for comprehending the evolving market landscape. This study initiates with foundational insights from a time-varying perspective. We uncover the time-varying information transmission of INE within the crude oil futures system and reveal its time- varying predictive causality on crude oil spot prices. The empirical findings yield several significant observations. Firstly, the Shanghai crude oil futures consistently functioned as the net receiver of price information transmission from mainstream international crude oil futures. Secondly, during the initial months of post-INE listing, and amid the global spread of COVID-19, Shanghai crude oil futures displayed less information received. Thirdly, the significant predictive causal influence of INE on the crude oil spot markets is predominantly observed to be valid post-2021, with its predictive capabilities exhibiting an ongoing enhancement. Our findings indicate that INE is gradually solidifying and strengthening its role as an influential player in the global crude oil market as it matures.
引用
收藏
页数:10
相关论文
共 26 条
  • [1] The pricing efficiency of crude oil futures in the Shanghai International Exchange
    Yang Chen
    Lv Fei
    Fang Libing
    Shang Xingxing
    FINANCE RESEARCH LETTERS, 2020, 36
  • [2] The time-varying spillover effect between WTI crude oil futures returns and hedge funds
    Zhang, Yue-Jun
    Wu, Yao-Bin
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2019, 61 : 156 - 169
  • [3] The influence of the Shanghai crude oil futures on the global and domestic oil markets
    Wang, Jianli
    Qiu, Shushu
    Yick, Ho Yin
    ENERGY, 2022, 245
  • [4] The Time-Varying Connectedness Between China's Crude Oil Futures and International Oil Markets: A Return and Volatility Spillover Analysis
    Fu, Jiasha
    Qiao, Hui
    LETTERS IN SPATIAL AND RESOURCE SCIENCES, 2022, 15 (03) : 341 - 376
  • [5] The time-varying causality between spot and futures crude oil prices: A regime switching approach
    Balcilar, Mehmet
    Gungor, Hasan
    Hammoudeh, Shawkat
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2015, 40 : 51 - 71
  • [6] Time-varying causality and correlations between spot and futures prices of natural gas, crude oil, heating oil, and gasoline
    Mensi, Walid
    Brahim, Mariem
    Hammoudeh, Shawkat
    Tiwari, Aviral Kumar
    Kang, Sang Hoon
    RESOURCES POLICY, 2024, 93
  • [7] The Time-Varying Connectedness Between China’s Crude Oil Futures and International Oil Markets: A Return and Volatility Spillover Analysis
    Jiasha Fu
    Hui Qiao
    Letters in Spatial and Resource Sciences, 2022, 15 : 341 - 376
  • [8] Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach
    Chatziantoniou, Ioannis
    Gabauer, David
    Gupta, Rangan
    RESOURCES POLICY, 2023, 84
  • [9] On the volatility of WTI crude oil prices: A time-varying approach with stochastic volatility
    Le, Thai-Ha
    Boubaker, Sabri
    Bui, Manh Tien
    Park, Donghyun
    ENERGY ECONOMICS, 2023, 117
  • [10] Time-varying Granger causality tests for applications in global crude oil markets
    Lu, Feng-bin
    Hong, Yong-miao
    Wang, Shou-yang
    Lai, Kin-keung
    Liu, John
    ENERGY ECONOMICS, 2014, 42 : 289 - 298