Shanghai crude oil futures: Returns Independence, volatility asymmetry, and hedging potential

被引:8
|
作者
Naqvi, Bushra [1 ]
Mirza, Nawazish [2 ]
Umar, Muhammad [3 ]
Rizvi, Syed Kumail Abbas [1 ]
机构
[1] Lahore Univ Management Sci, Suleman Dawood Sch Business, Lahore, Pakistan
[2] Excelia Business Sch, La Rochelle, France
[3] Lebanese Amer Univ, Adnan Kassar Sch Business, Dept Finance & Accounting, Beirut, Lebanon
关键词
SCOF WTI Brent Volatility dynamics Crude oil futures; STOCK; PRICE; SPILLOVERS; MARKET; CHINA;
D O I
10.1016/j.eneco.2023.107110
中图分类号
F [经济];
学科分类号
02 ;
摘要
Amidst the rise of Shanghai crude oil futures (SCOF) as a preeminent contender in the global oil arena, this study analyzes its returns and volatility structures in compelling contrast to West Texas Intermediate (WTI) and Brent oil futures (BRENT). A comprehensive examination is conducted using various GARCH models and News impact curves, with the analysis based on daily data spanning from April 2021 to March 2023. The results reveal distinct responses of SCOF when contrasted with WTI and Brent. Firstly, the study finds that SCOF returns exhibit a level of independence from global market movements. Secondly, the assessment of potential asymmetries in the volatility structures displays notable differences among the three markets. Specifically, WTI demonstrates the highest asymmetry, while SCOF exhibits lower asymmetry. These findings imply that SCOF returns exhibit stability and resilience and hold the potential to serve as a formidable hedge against adverse shocks. As investors and policymakers navigate the complex terrain of the global oil market, these insights underscore the strategic advantages and opportunities that SCOF may offer, both in individual investment decisions and broader risk management strategies.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Volatility spillovers between crude oil futures returns and oil company stock returns
    Tansuchat, R.
    McAleer, M.
    Chang, C.
    18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: INTERFACING MODELLING AND SIMULATION WITH MATHEMATICAL AND COMPUTATIONAL SCIENCES, 2009, : 1356 - 1362
  • [2] VOLATILITY SPILLOVER EFFECTS AND CROSS HEDGING IN CORN AND CRUDE OIL FUTURES
    Wu, Feng
    Guan, Zhengfei
    Myers, Robert J.
    JOURNAL OF FUTURES MARKETS, 2011, 31 (11) : 1052 - 1075
  • [3] Returns and volatility in the Kuala Lumpur crude palm oil futures market
    Liew, KY
    Brooks, RD
    JOURNAL OF FUTURES MARKETS, 1998, 18 (08) : 985 - 999
  • [4] Volatility Hedging Model for Precious Metal Futures Returns
    Tansuchat, Roengchai
    Maneejuk, Paravee
    Sriboonchitta, Songsak
    INTEGRATED UNCERTAINTY IN KNOWLEDGE MODELLING AND DECISION MAKING, IUKM 2016, 2016, 9978 : 675 - 688
  • [6] The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns
    Zhang, Chuanhai
    Ma, Huan
    Arkorful, Gideon Bruce
    Peng, Zhe
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2023, 86
  • [7] Long memory and nonlinear dependence structure in crude oil futures returns and volatility
    Li Hongquan Wang Shouyang Ma Chaoqun Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China School of Business Administration Hunan University Changsha China
    Journal of Southeast University(English Edition), 2008, (English Edition) : 82 - 87
  • [8] Long memory and nonlinear dependence structure in crude oil futures returns and volatility
    Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
    不详
    J. Southeast Univ. Engl. Ed., 2008, SUPPL. (82-87):
  • [9] Study on the optimal hedging ratio of Shanghai crude oil futures based on Copula models
    Wu, Xiaofei
    Miao, Hailong
    Zhu, Shuzhen
    Li, Xin
    ASIA-PACIFIC JOURNAL OF ACCOUNTING & ECONOMICS, 2022, 29 (06) : 1657 - 1670
  • [10] Volatility forecasting for crude oil futures
    Marzo, Massimiliano
    Zagaglia, Paolo
    APPLIED ECONOMICS LETTERS, 2010, 17 (16) : 1587 - 1599