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Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach

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  • Miao, Xiaoyu
  • Wang, Qunwei
  • Dai, Xingyu

Abstract

China's natural gas market is not only growing rapidly but is also in the process of liberalization, indicating the potential of oil-gas price decoupling. In this situation, this study re-examines whether oil-gas price decoupling is happening in China, in order to analyze the achievements of market reform. First, a multi-scale decomposition approach is used to find oil-gas price patterns in the time-frequency domain. Then, a quantile-on-quantile analysis is used to acquire the entire dependence structure between oil and gas prices. The findings indicate that the association between oil and gas prices increases over scales but varies for quantiles. Specifically, clear evidence is provided that China's liquefied natural gas (LNG) price is independent of the oil prices selected for this study in the short term, whereas no additional evidence exists that proves oil and gas prices have already been decoupled. This finding indicates that the oil-indexation pricing mechanism still remains dominant. Based on the empirical results, the authors suggest that the establishment of trading hubs, the removal of restrictive clauses in contracts, and the diversification of pricing mechanisms should be simultaneously promoted in China.

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  • Miao, Xiaoyu & Wang, Qunwei & Dai, Xingyu, 2022. "Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 450-470.
    • Handle: RePEc:eee:reveco:v:77:y:2022:i:c:p:450-470
    DOI: 10.1016/j.iref.2021.10.016
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    as
    1. Ramsey James B. & Lampart Camille, 1998. "The Decomposition of Economic Relationships by Time Scale Using Wavelets: Expenditure and Income," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-22, April.
    2. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2017. "The dynamic linkages between crude oil and natural gas markets," Energy Economics, Elsevier, vol. 62(C), pages 155-170.
    3. Wang, Qunwei & Zhou, Bo & Zhang, Cheng & Zhou, Dequn, 2021. "Do energy subsidies reduce fiscal and household non-energy expenditures? A regional heterogeneity assessment on coal-to-gas program in China," Energy Policy, Elsevier, vol. 155(C).
    4. Frank Asche, Atle Oglend, and Petter Osmundsen, 2017. "Modeling UK Natural Gas Prices when Gas Prices Periodically Decouple from the Oil Price," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    5. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2013. "The influence of the international oil prices on the real effective exchange rate in Romania in a wavelet transform framework," Energy Economics, Elsevier, vol. 40(C), pages 714-733.
    6. Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
    7. Bastianin, Andrea & Galeotti, Marzio & Polo, Michele, 2019. "Convergence of European natural gas prices," Energy Economics, Elsevier, vol. 81(C), pages 793-811.
    8. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    9. Hou, Chenghan & Nguyen, Bao H., 2018. "Understanding the US natural gas market: A Markov switching VAR approach," Energy Economics, Elsevier, vol. 75(C), pages 42-53.
    10. Choi, Gobong & Heo, Eunnyeong, 2017. "Estimating the price premium of LNG in Korea and Japan: The price formula approach," Energy Policy, Elsevier, vol. 109(C), pages 676-684.
    11. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    12. Chiappini, Raphaël & Jégourel, Yves & Raymond, Paul, 2019. "Towards a worldwide integrated market? New evidence on the dynamics of U.S., European and Asian natural gas prices," Energy Economics, Elsevier, vol. 81(C), pages 545-565.
    13. Jadidzadeh, Ali & Serletis, Apostolos, 2017. "How does the U.S. natural gas market react to demand and supply shocks in the crude oil market?," Energy Economics, Elsevier, vol. 63(C), pages 66-74.
    14. Chenghan Hou & Bao H. Nguyen, 2018. "Understanding the US natural gas market: A Markov switching VAR approach," CAMA Working Papers 2018-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Yang, Lu & Tian, Shuairu & Yang, Wei & Xu, Mingli & Hamori, Shigeyuki, 2018. "Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 116-137.
    16. Chai, Jian & Wei, Zhaohao & Hu, Yi & Su, Siping & Zhang, Zhe George, 2019. "Is China's natural gas market globally connected?," Energy Policy, Elsevier, vol. 132(C), pages 940-949.
    17. Caporin, Massimiliano & Fontini, Fulvio, 2017. "The long-run oil–natural gas price relationship and the shale gas revolution," Energy Economics, Elsevier, vol. 64(C), pages 511-519.
    18. Qunwei Wang & Xingyu Dai & Dequn Zhou, 2020. "Dynamic Correlation and Risk Contagion Between “Black” Futures in China: A Multi-scale Variational Mode Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1117-1150, April.
    19. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
    20. Stephen P. A. Brown & Mine K. Yucel, 2008. "What Drives Natural Gas Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 45-60.
    21. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    22. Xunpeng, Shi & Variam, Hari Malamakkavu Padinjare & Tao, Jacqueline, 2017. "Global impact of uncertainties in China’s gas market," Energy Policy, Elsevier, vol. 104(C), pages 382-394.
    23. Lin, Boqiang & Li, Zhensheng, 2021. "Does natural gas pricing reform establish an effective mechanism in China: A policy evaluation perspective," Applied Energy, Elsevier, vol. 282(PA).
    24. Davis, Rebecca J. & Sims, Charles, 2019. "Frack to the future: What enticed small firms to enter the natural gas market during the hydraulic fracturing boom?," Energy Economics, Elsevier, vol. 81(C), pages 960-973.
    25. Dai, Xingyu & Wang, Qunwei & Zha, Donglan & Zhou, Dequn, 2020. "Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach," Energy Economics, Elsevier, vol. 88(C).
    26. Zhang, Dayong & Shi, Min & Shi, Xunpeng, 2018. "Oil indexation, market fundamentals, and natural gas prices: An investigation of the Asian premium in natural gas trade," Energy Economics, Elsevier, vol. 69(C), pages 33-41.
    27. Peter R. Hartley & Kenneth B Medlock III & Jennifer E. Rosthal, 2008. "The Relationship of Natural Gas to Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 47-66.
    28. Shi, Xunpeng & Padinjare Variam, Hari Malamakkavu, 2016. "Gas and LNG trading hubs, hub indexation and destination flexibility in East Asia," Energy Policy, Elsevier, vol. 96(C), pages 587-596.
    29. Wang, Tiantian & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Market reforms and determinants of import natural gas prices in China," Energy, Elsevier, vol. 196(C).
    30. Shi, Xunpeng & Shen, Yifan & Wu, Yanrui, 2019. "Energy market financialization: Empirical evidence and implications from East Asian LNG markets," Finance Research Letters, Elsevier, vol. 30(C), pages 414-419.
    31. Shahzad, Syed Jawad Hussain & Shahbaz, Muhammad & Ferrer, Román & Kumar, Ronald Ravinesh, 2017. "Tourism-led growth hypothesis in the top ten tourist destinations: New evidence using the quantile-on-quantile approach," Tourism Management, Elsevier, vol. 60(C), pages 223-232.
    32. Brigida, Matthew, 2014. "The switching relationship between natural gas and crude oil prices," Energy Economics, Elsevier, vol. 43(C), pages 48-55.
    33. Hulshof, Daan & van der Maat, Jan-Pieter & Mulder, Machiel, 2016. "Market fundamentals, competition and natural-gas prices," Energy Policy, Elsevier, vol. 94(C), pages 480-491.
    34. Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
    35. Gençay, Ramazan & Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon J., 2001. "An Introduction to Wavelets and Other Filtering Methods in Finance and Economics," Elsevier Monographs, Elsevier, edition 1, number 9780122796708.
    36. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective," Energy, Elsevier, vol. 101(C), pages 266-277.
    37. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    38. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    39. Lin, Boqiang & Kuang, Yunming, 2020. "Natural gas subsidies in the industrial sector in China: National and regional perspectives," Applied Energy, Elsevier, vol. 260(C).
    40. Robert Staudte, 2014. "Inference for quantile measures of skewness," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(4), pages 751-768, December.
    41. Liu, Chang & Lin, Boqiang, 2018. "Analysis of the changes in the scale of natural gas subsidy in China and its decomposition factors," Energy Economics, Elsevier, vol. 70(C), pages 37-44.
    42. Jeremia Dwi Martono & Kentaka Aruga, 2018. "Investigating the price linkage between the Asian LNG spot and East Asian LNG prices and its implications," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 41(1/2/3/4), pages 86-97.
    43. Frank Asche & Petter Osmundsen & Maria Sandsmark, 2006. "The UK Market for Natural Gas, Oil and Electricity: Are the Prices Decoupled?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 27-40.
    44. Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
    45. Zhang, Dayong & Ji, Qiang, 2018. "Further evidence on the debate of oil-gas price decoupling: A long memory approach," Energy Policy, Elsevier, vol. 113(C), pages 68-75.
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    More about this item

    Keywords

    Natural gas; Price decoupling; Multi-scale; Quantile-on-quantile;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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