Extant linkages between Shanghai crude oil and US energy futures: Insights from spillovers of higher-order moments

被引:7
作者
Banerjee, Ameet Kumar [1 ]
Dionisio, Andreia [2 ]
Sensoy, Ahmet [3 ,5 ]
Goodell, John W. [4 ]
机构
[1] XLRI, Xavier Sch Management, Jamshedpur, India
[2] Univ Evora, Sch Social Sci, Management Dept, CEFAGE, Evora, Portugal
[3] Bilkent Univ, Fac Business Adm, Ankara, Turkiye
[4] Univ Akron, Akron, OH 44325 USA
[5] Lebanese Amer Univ, Adnan Kassar Sch Business, Beirut, Lebanon
关键词
Energy futures; Shanghai international energy exchange; Risk management; Mutual information; TVP-VAR; IMPULSE-RESPONSE ANALYSIS; INFORMATION-CONTENT; VOLATILITY; SKEWNESS; KURTOSIS; PRICES; RISK; GOLD;
D O I
10.1016/j.eneco.2024.107683
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study is epicentral to analyzing the impact of futures volatility on portfolio and risk management, as extant literature indicates the challenges of using economic variables that fall short of forecasting volatility beyond lagged values. Further, higher moments may be better adaptive to signaling distress during market upheavals. This paper sources data from Bloomberg from March 26, 2018-April 28, 2023, to examine the dynamic spillovers of higher moments among Shanghai International Energy Exchange and US energy futures contracts by constructing realized skewness and kurtosis. Using nonlinear techniques of mutual information and time-varying vector autoregression (TVP-VAR), we show that realized skewness and kurtosis offer significant information on spillover transmission between the two futures markets, primarily through the crises of COVID-19 and the Russia and Ukraine war. Further, we identify that the risks embedded in these future contracts have increased significantly. Our results have important implications for policymakers, investors, and risk managers.
引用
收藏
页数:19
相关论文
共 98 条
[61]   Forecasting China's crude oil futures volatility: How to dig out the information of other energy futures volatilities? [J].
Jin, Daxiang ;
He, Mengxi ;
Xing, Lu ;
Zhang, Yaojie .
RESOURCES POLICY, 2022, 78
[62]   Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements [J].
Jondeau, E ;
Rockinger, M .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2003, 27 (10) :1699-1737
[63]   Skewness and index futures return [J].
Jondeau, Eric ;
Wang, Xuewu ;
Yan, Zhipeng ;
Zhang, Qunzi .
JOURNAL OF FUTURES MARKETS, 2020, 40 (11) :1648-1664
[64]   Impulse response analysis in nonlinear multivariate models [J].
Koop, G ;
Pesaran, MH ;
Potter, SM .
JOURNAL OF ECONOMETRICS, 1996, 74 (01) :119-147
[65]  
Kraskov A, 2004, PHYS REV E, V69, DOI 10.1103/PhysRevE.69.066138
[66]   Are the European Union stock markets vulnerable to the Russia-Ukraine war? [J].
Kumari, Vineeta ;
Kumar, Gaurav ;
Pandey, Dharen Kumar .
JOURNAL OF BEHAVIORAL AND EXPERIMENTAL FINANCE, 2023, 37
[67]   Opportunities and challenges for contactless healthcare services in the post-COVID-19 Era [J].
Lee, Sang M. ;
Lee, DonHee .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 167
[68]   Are Chinese crude oil futures good hedging tools? [J].
Li, Jie ;
Huang, Lixin ;
Li, Ping .
FINANCE RESEARCH LETTERS, 2021, 38
[69]   An oil futures volatility forecast perspective on the selection of high-frequency jump tests [J].
Li, Xiafei ;
Liao, Yin ;
Lu, Xinjie ;
Ma, Feng .
ENERGY ECONOMICS, 2022, 116
[70]   The information content of uncertainty indices for natural gas futures volatility forecasting [J].
Liang, Chao ;
Ma, Feng ;
Wang, Lu ;
Zeng, Qing .
JOURNAL OF FORECASTING, 2021, 40 (07) :1310-1324