Abstract
China is breaking through the petrodollar system, establishing RMB-dominating crude oil futures market. The country is achieving a milestone in its transition to energy finance market internationalization. This study explores the price leadership of China’s crude oil futures and identifies its price co-movement to uncover whether it truly shakes up the global oil spots market. First, we find that for oil spots under different gravities, China’s oil futures is only a net price information receiver from light-, medium-, and heavy-gravity oil spots, but it has a relatively stronger price co-movement with these three spots. Second, for oil spots under different sulfur contents, China’s oil futures still has weak price leadership in sweet, neutral, and sour oil spots, but it has strong co-movement with them. Third, for oil spots under different geographical origins, China’s oil futures shows price leadership in East Asian and Australian oil spots at the medium- and longrun time scales and strong price co-movement with East Asian, Middle Eastern, Latin American and Australian oil spots. China’s oil futures may not have good price leadership in global spots market, but it features favorable price co-movement.
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An Y, Zhou D, Yu J, Shi X, Wang Q (2021). Carbon emission reduction characteristics for China’s manufacturing firms: Implications for formulating carbon policies. Journal of Environmental Management, 284: 112055
Awadh S M, Al-Mimar H (2015). Statistical analysis of the relations between API, specific gravity and sulfur content in the universal crude oil. International Journal of Science and Research, 4(5): 1279–1284
Baruník J, Křehlík T (2018). Measuring the frequency dynamics of financial connectedness and systemic risk. Journal of Financial Econometrics, 16(2): 271–296
Basher S A, Sadorsky P (2016). Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH. Energy Economics, 54: 235–247
British Petroleum (2021). Statistical Review of World Energy 2021
Buyuksahin B, Harris J H (2011). Do speculators drive crude oil futures prices? Energy Journal, 32(2): 75–95
Chang C P, Lee C C (2015). Do oil spots and futures prices move together? Energy Economics, 50: 379–390
Chang K L (2012). The time-varying and asymmetric dependence between crude oil spots and futures markets: Evidence from the mixture copula-based ARJI—GARCH model. Economic Modelling, 29(6): 2298–2309
Charfeddine L, Barkat K (2020). Short- and long-run asymmetric effect of oil prices and oil and gas revenues on the real GDP and economic diversification in oil-dependent economy. Energy Economics, 86: 104680
Chen K C, Chen S, Wu L (2009). Price causal relations between China and the world oil markets. Global Finance Journal, 20(2): 107–118
Chen P F, Lee C C, Zeng J H (2014). The relationship between spots and futures oil prices: Do structural breaks matter? Energy Economics, 43: 206–217
Dai X, Wang Q, Zha D, Zhou D (2020). Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach. Energy Economics, 88: 104774
Dai X, Xiao L, Wang Q, Dhesi G (2021). Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS. Energy Policy, 156: 112428
Diebold F X, Yilmaz K (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1): 57–66
Elder J, Miao H, Ramchander S (2014). Price discovery in crude oil futures. Energy Economics, 46: S18–S27
Engle R (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3): 339–350
Engle R, Kelly B (2012). Dynamic equicorrelation. Journal of Business & Economic Statistics, 30(2): 212–228
Ferrer R, Shahzad S J H, López R, Jareño F (2018). Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices. Energy Economics, 76: 1–20
Garbade K D, Silber W L (1983). Price movements and price discovery in futures and cash markets. Review of Economics and Statistics, 65(2): 289–297
Gülen S G (1998). Efficiency in the crude oil futures market. Journal of Energy Finance & Development, 3(1): 13–21
Gülen S G (1999). Regionalization in the world crude oil market: Further evidence. Energy Journal, 20(1): 125–139
Huang B N, Yang C W, Hwang M J (2009). The dynamics of a nonlinear relationship between crude oil spots and futures prices: A multivariate threshold regression approach. Energy Economics, 31(1): 91–98
Huang X, Huang S (2020). Identifying the comovement of price between China’s and international crude oil futures: A time-frequency perspective. International Review of Financial Analysis, 72: 101562
Ji Q, Fan Y (2015). Dynamic integration of world oil prices: A reinvestigation of globalisation vs. regionalisation. Applied Energy, 155: 171–180
Ji Q, Fan Y (2016). Evolution of the world crude oil market integration: A graph theory analysis. Energy Economics, 53: 90–100
Ji Q, Zhang D (2019). China’s crude oil futures: Introduction and some stylized facts. Finance Research Letters, 28: 376–380
Kang S H, Tiwari A K, Albulescu C T, Yoon S M (2019). Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1. Energy Economics, 84: 104543
Kaufmann R K (2016). Price differences among crude oils: The private costs of supply disruptions. Energy Economics, 56: 1–8
Lee C C, Zeng J H (2011). Revisiting the relationship between spots and futures oil prices: Evidence from quantile cointegrating regression. Energy Economics, 33(5): 924–935
Li J, Huang L, Li P (2021). Are Chinese crude oil futures good hedging tools? Finance Research Letters, 38: 101514
Lu X, Ma F, Wang J, Wang J (2020). Examining the predictive information of CBOE OVX on China’s oil futures volatility: Evidence from MS-MIDAS models. Energy, 212: 118743
Mensi W, Hammoudeh S, Al-Jarrah I M W, Sensoy A, Kang S H (2017). Dynamic risk spillovers between gold, oil prices and conventional, sustainability and Islamic equity aggregates and sectors with portfolio implications. Energy Economics, 67: 454–475
Miao X, Wang Q, Dai X (2022). Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach. International Review of Economics & Finance, 77: 450–470
Mohammadi H (2009). Electricity prices and fuel costs: Long-run relations and short-run dynamics. Energy Economics, 31(3): 503–509
Motomura M (2014). Japan’s need for Russian oil and gas: A shift in energy flows to the Far East. Energy Policy, 74: 68–79
Ouyang Z Y, Qin Z, Cao H, Xie T Y, Dai X Y, Wang Q W (2021). A spillover network analysis of the global crude oil market: Evidence from the post-financial crisis era. Petroleum Science, 18(4): 1256–1269
Pan Z, Wang Y, Liu L (2016). The relationships between petroleum and stock returns: An asymmetric dynamic equi-correlation approach. Energy Economics, 56: 453–463
Pan Z, Wang Y, Yang L (2014). Hedging crude oil using refined product: A regime switching asymmetric DCC approach. Energy Economics, 46: 472–484
Peng Q, Wen F, Gong X (2021). Time-dependent intrinsic correlation analysis of crude oil and the US dollar based on CEEMDAN. International Journal of Finance & Economics, 26(1): 834–848
Sari R, Soytas U, Hacihasanoglu E (2011). Do global risk perceptions influence world oil prices? Energy Economics, 33(3): 515–524
Switzer L N, El-Khoury M (2007). Extreme volatility, speculative efficiency, and the hedging effectiveness of the oil futures markets. The Journal of Futures Markets, 27(1): 61–84
Tong Y, Wan N, Dai X, Bi X, Wang Q (2022). China’s energy stock market jumps: To what extent does the COVID-19 pandemic play a part? Energy Economics, 109: 105937
Tsvetanov D, Coakley J, Kellard N (2016). Bubbling over! The behaviour of oil futures along the yield curve. Journal of Empirical Finance, 38: 516–533
Wang Q, Dai X, Zhou D (2020). Dynamic correlation and risk contagion between “black” futures in China: A multi-scale variational mode decomposition approach. Computational Economics, 55(4): 1117–1150
Wang X, Wang Y (2019). Volatility spillovers between crude oil and Chinese sectoral equity markets: Evidence from a frequency dynamics perspective. Energy Economics, 80: 995–1009
Weiner R J (1991). Is the world oil market “one great pool”? Energy Journal, 12(3): 95–107
Yang J, Zhou Y (2020). Return and volatility transmission between China’s and international crude oil futures markets: A first look. The Journal of Futures Markets, 40(6): 860–884
Zhai X, An Y (2020). Analyzing influencing factors of green transformation in China’s manufacturing industry under environmental regulation: A structural equation model. Journal of Cleaner Production, 251: 119760
Zhai X, An Y (2021). The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data. Technology in Society, 64: 101498
Zhang C, Zhou B, Tian X (2022a). Political connections and green innovation: The role of a corporate entrepreneurship strategy in state-owned enterprises. Journal of Business Research, 146: 375–384
Zhang C, Zhou X, Zhou B, Zhao Z (2022b). Impacts of a mega sporting event on local carbon emissions: A case of the 2014 Nanjing Youth Olympics. China Economic Review, 73: 101782
Zhang D, Ji Q, Kutan A M (2019). Dynamic transmission mechanisms in global crude oil prices: Estimation and implications. Energy, 175: 1181–1193
Zhang Y J, Li Z C (2021). Forecasting the stock returns of Chinese oil companies: Can investor attention help? International Review of Economics & Finance, 76: 531–555
Zhang Y J, Ma S J (2021). Exploring the dynamic price discovery, risk transfer and spillover among INE, WTI and Brent crude oil futures markets: Evidence from the high-frequency data. International Journal of Finance & Economics, 26(2): 2414–2435
Zhang Y J, Pan X (2021). Does the risk aversion of crude oil market investors have directional predictability for the precious metal and agricultural markets? China Agricultural Economic Review, 13(4): 894–911
Zhang Y J, Wei Y M (2010). The crude oil market and the gold market: Evidence for cointegration, causality and price discovery. Resources Policy, 35(3): 168–177
Zhang Y J, Yan X X (2020). The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains. International Review of Economics & Finance, 69: 750–768
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This work was financially supported by the National Social Science Fund of China (Grant No. 21&ZD110).
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Dai, X., Xiao, L., Li, M.C. et al. Toward energy finance market transition: Does China’s oil futures shake up global spots market?. Front. Eng. Manag. 9, 409–424 (2022). https://doi.org/10.1007/s42524-022-0207-3
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DOI: https://doi.org/10.1007/s42524-022-0207-3