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Multiscale dynamic interdependency between China’s crude oil futures and petrochemical-related commodity futures: An integrated perspective from the industry chain system

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  • Yang, Jie
  • Feng, Yun
  • Yang, Hao

Abstract

This paper examines the coupling of China’s petrochemical-related commodity futures from the perspective of an integrated system as well as the multiscale interdependency between this system and Shanghai crude oil futures (SCM) with two globally influential benchmarks, i.e., Brent and WTI, as comparisons. Our methods innovatively build on the multifractal theory and provide in-depth analysis across various time scales. The results show the dynamic coupling of China’s oil industry chain system (ICS) can reflect its level of systemic risk concentration well. The greater the time scale, the stronger the coupling. The abrupt deterioration of the external economic environment enhanced the impact of crude oil on the ICS, but the impact from SCM increased the most. Furthermore, the higher dependency preference of ICS for SCM confirms the effectiveness of this emerging futures market in reflecting domestic oil supply and demand but continuously weakens as the time scale increases, indicating the dominance of Brent and WTI in the long run.

Suggested Citation

  • Yang, Jie & Feng, Yun & Yang, Hao, 2025. "Multiscale dynamic interdependency between China’s crude oil futures and petrochemical-related commodity futures: An integrated perspective from the industry chain system," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
  • Handle: RePEc:eee:ecofin:v:75:y:2025:i:pa:s1062940824002213
    DOI: 10.1016/j.najef.2024.102296
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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    3. Zhang, Shuchang & Guo, Yaoqi & Cheng, Hui & Zhang, Hongwei, 2021. "Cross-correlations between price and volume in China's crude oil futures market: A study based on multifractal approaches," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    4. Wen, Fenghua & Cao, Jiahui & Liu, Zhen & Wang, Xiong, 2021. "Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
    5. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    6. Lv, Fei & Yang, Chen & Fang, Libing, 2020. "Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    7. Bei, Shuhua & Yang, Aijun & Pei, Haotian & Si, Xiaoli, 2023. "Price Risk Analysis using GARCH Family Models: Evidence from Shanghai Crude Oil Futures Market," Economic Modelling, Elsevier, vol. 125(C).
    8. Duan, Kun & Ren, Xiaohang & Wen, Fenghua & Chen, Jinyu, 2023. "Evolution of the information transmission between Chinese and international oil markets: A quantile-based framework," Journal of Commodity Markets, Elsevier, vol. 29(C).
    9. Pawe{l} O'swic{e}cimka & Stanis{l}aw Dro.zd.z & Marcin Forczek & Stanis{l}aw Jadach & Jaros{l}aw Kwapie'n, 2013. "Detrended Cross-Correlation Analysis Consistently Extended to Multifractality," Papers 1308.6148, arXiv.org, revised Feb 2014.
    10. Lee, Chien-Chiang & Zhou, Hegang & Xu, Chao & Zhang, Xiaoming, 2023. "Dynamic spillover effects among international crude oil markets from the time-frequency perspective," Resources Policy, Elsevier, vol. 80(C).
    11. Wang, Jianli & Qiu, Shushu & Yick, Ho Yin, 2022. "The influence of the Shanghai crude oil futures on the global and domestic oil markets," Energy, Elsevier, vol. 245(C).
    12. Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
    13. Ren, Xiaohang & Li, Yiying & Sun, Xianming & Bu, Ruijun & Jawadi, Fredj, 2023. "Modeling extreme risk spillovers between crude oil and Chinese energy futures markets," Energy Economics, Elsevier, vol. 126(C).
    14. Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
    15. Zhang, Qi & Di, Peng & Farnoosh, Arash, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Energy, Elsevier, vol. 223(C).
    16. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Alam, Masud & Abedin, Mohammad Zoynul & Shi, Baofeng, 2023. "NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
    17. Grech, Dariusz, 2016. "Alternative measure of multifractal content and its application in finance," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 183-195.
    18. Lu, Xinjie & Ma, Feng & Li, Haibo & Wang, Jianqiong, 2023. "INE oil futures volatility prediction: Exchange rates or international oil futures volatility?," Energy Economics, Elsevier, vol. 126(C).
    19. Ouyang, Ruolan & Zhuang, Chengkai & Wang, Tingting & Zhang, Xuan, 2022. "Network analysis of risk transmission among energy futures: An industrial chain perspective," Energy Economics, Elsevier, vol. 107(C).
    20. Liu, Feng & Shao, Shuai & Zhang, Chuanguo, 2020. "How do China's petrochemical markets react to oil price jumps? A comparative analysis of stocks and commodities," Energy Economics, Elsevier, vol. 92(C).
    21. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    22. Zhu, Pengfei & Tang, Yong & Wei, Yu & Lu, Tuantuan, 2021. "Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic," Energy, Elsevier, vol. 231(C).
    23. Amir Bashan & Ronny Bartsch & Jan W. Kantelhardt & Shlomo Havlin, 2008. "Comparison of detrending methods for fluctuation analysis," Papers 0804.4081, arXiv.org.
    24. Palao, Fernando & Pardo, Ángel & Roig, Marta, 2020. "Is the leadership of the Brent-WTI threatened by China’s new crude oil futures market?," Journal of Asian Economics, Elsevier, vol. 70(C).
    25. Yang, Chen & Lv, Fei & Fang, Libing & Shang, Xingxing, 2020. "The pricing efficiency of crude oil futures in the Shanghai International Exchange," Finance Research Letters, Elsevier, vol. 36(C).
    26. Wang, Zi-Xin & Liu, Bing-Yue & Fan, Ying, 2023. "Network connectedness between China's crude oil futures and sector stock indices," Energy Economics, Elsevier, vol. 125(C).
    27. Hongxia Wang & Shushu Qiu & Jianli Wang & Ho Yin Yick, 2024. "An ARDL approach to study the cointegration relations between the Shanghai crude oil futures and global markets," Applied Economics, Taylor & Francis Journals, vol. 56(10), pages 1208-1219, February.
    28. Yang, Yuying & Ma, Yan-Ran & Hu, Min & Zhang, Dayong & Ji, Qiang, 2021. "Extreme risk spillover between chinese and global crude oil futures," Finance Research Letters, Elsevier, vol. 40(C).
    29. Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.
    30. Zhao, Xiaojun & Shang, Pengjian & Lin, Aijing & Chen, Gang, 2011. "Multifractal Fourier detrended cross-correlation analysis of traffic signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3670-3678.
    31. Shi, Xunpeng & Sun, Sizhong, 2017. "Energy price, regulatory price distortion and economic growth: A case study of China," Energy Economics, Elsevier, vol. 63(C), pages 261-271.
    32. Ji, Qiang & Fan, Ying, 2016. "Evolution of the world crude oil market integration: A graph theory analysis," Energy Economics, Elsevier, vol. 53(C), pages 90-100.
    33. Feng, Yun & Yang, Jie & Huang, Qian, 2023. "Multiscale correlation analysis of Sino-US corn futures markets and the impact of international crude oil price: A new perspective from the multifractal method," Finance Research Letters, Elsevier, vol. 53(C).
    34. 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.
    35. Sang Hoon Kang & Seong‐Min Yoon, 2020. "Dynamic correlation and volatility spillovers across Chinese stock and commodity futures markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 261-273, April.
    36. Sun, Chuanwang & Min, Jialin & Sun, Jiacheng & Gong, Xu, 2023. "The role of China's crude oil futures in world oil futures market and China's financial market," Energy Economics, Elsevier, vol. 120(C).
    37. Yue‐Jun Zhang & Shu‐Jiao Ma, 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, John Wiley & Sons, Ltd., vol. 26(2), pages 2414-2435, April.
    38. Huang, Xiaohong & Huang, Shupei, 2020. "Identifying the comovement of price between China's and international crude oil futures: A time-frequency perspective," International Review of Financial Analysis, Elsevier, vol. 72(C).
    39. Qi Zhang & Peng Di & Arash Farnoosh, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Post-Print hal-03151102, HAL.
    40. LI, Jie & HUANG, Lixin & LI, Ping, 2021. "Are Chinese crude oil futures good hedging tools?," Finance Research Letters, Elsevier, vol. 38(C).
    41. Yang, Jie & Feng, Yun, 2023. "Market inefficiency spillover network across different regimes," Finance Research Letters, Elsevier, vol. 58(PC).
    42. Zhu, Pengfei & Tang, Yong & Wei, Yu & Dai, Yimin & Lu, Tuantuan, 2021. "Relationships and portfolios between oil and Chinese stock sectors: A study based on wavelet denoising-higher moments perspective," Energy, Elsevier, vol. 217(C).
    43. Xu, Lei & Ma, Xueke & Qu, Fang & Wang, Li, 2023. "Risk connectedness between crude oil, gold and exchange rates in China: Implications of the COVID-19 pandemic," Resources Policy, Elsevier, vol. 83(C).
    44. Gu, Rongbao & Zhang, Bing, 2016. "Is efficiency of crude oil market affected by multifractality? Evidence from the WTI crude oil market," Energy Economics, Elsevier, vol. 53(C), pages 151-158.
    45. Sun, Chuanwang & Peng, Yiqi & Zhan, Yanhong, 2023. "How does China's crude oil futures affect the crude oil prices at home and abroad? Evidence from the cross-market exchange rate spillovers," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 204-222.
    46. Li, Kaifeng & Devpura, Neluka & Cheng, Sijia, 2022. "How did the oil price affect Japanese yen and other currencies? Fresh insights from the COVID-19 pandemic," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    47. Wen, Fenghua & Liu, Zhen & Dai, Zhifeng & He, Shaoyi & Liu, Wenhua, 2022. "Multi-scale risk contagion among international oil market, Chinese commodity market and Chinese stock market: A MODWT-Vine quantile regression approach," Energy Economics, Elsevier, vol. 109(C).
    48. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    49. Wei, Yu & Zhang, Yaojie & Wang, Yudong, 2022. "Information connectedness of international crude oil futures: Evidence from SC, WTI, and Brent," International Review of Financial Analysis, Elsevier, vol. 81(C).
    50. Jian Yang & Yinggang Zhou, 2020. "Return and volatility transmission between China's and international crude oil futures markets: A first look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 860-884, June.
    51. Bashan, Amir & Bartsch, Ronny & Kantelhardt, Jan W. & Havlin, Shlomo, 2008. "Comparison of detrending methods for fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5080-5090.
    52. Morales Martínez, Jorge Luis & Segovia-Domínguez, Ignacio & Rodríguez, Israel Quiros & Horta-Rangel, Francisco Antonio & Sosa-Gómez, Guillermo, 2021. "A modified Multifractal Detrended Fluctuation Analysis (MFDFA) approach for multifractal analysis of precipitation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    53. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    54. Li, Li & Chen, Hongyi & Xiang, Jingjie, 2023. "Oil price uncertainty, financial distress and real economic activities: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    55. Yan, Guan & Trück, Stefan, 2020. "A dynamic network analysis of spot electricity prices in the Australian national electricity market," Energy Economics, Elsevier, vol. 92(C).
    56. Xu, Lin & Wu, Chenyang & Qin, Quande & Lin, Xiaoying, 2022. "Spillover effects and nonlinear correlations between carbon emissions and stock markets: An empirical analysis of China's carbon-intensive industries," Energy Economics, Elsevier, vol. 111(C).
    57. Hu, Yang & Lang, Chunlin & Corbet, Shaen & Hou, Yang (Greg) & Oxley, Les, 2023. "Exploring the dynamic behaviour of commodity market tail risk connectedness during the negative WTI pricing event," Energy Economics, Elsevier, vol. 125(C).
    58. Zhang, Qi & Hu, Yi & Jiao, Jianbin & Wang, Shouyang, 2023. "Is refined oil price regulation a “shock absorber” for crude oil price shocks?," Energy Policy, Elsevier, vol. 173(C).
    59. Chen, Hao & Sun, Zesheng, 2021. "International crude oil price, regulation and asymmetric response of China's gasoline price," Energy Economics, Elsevier, vol. 94(C).
    60. Qiang Ji & Dayong Zhang & Yuqian Zhao, 2022. "Intra-day co-movements of crude oil futures: China and the international benchmarks," Annals of Operations Research, Springer, vol. 313(1), pages 77-103, June.
    61. Karahan, Cenk C. & Odabaşı, Attila & Tiryaki, C. Sani, 2024. "Wired together: Integration and efficiency in European electricity markets," Energy Economics, Elsevier, vol. 133(C).
    62. Chaohua He & Guangchen Li & Hai Fan & Weixian Wei, 2021. "Correlation between Shanghai crude oil futures, stock, foreign exchange, and gold markets: a GARCH-vine-copula method," Applied Economics, Taylor & Francis Journals, vol. 53(11), pages 1249-1263, March.
    63. Wang, Xiaoyu & Wang, Jiaojiao & Wang, Wenhuan & Zhang, Shuquan, 2023. "International and Chinese energy markets: Dynamic spillover effects," Energy, Elsevier, vol. 282(C).
    64. Alvarez-Ramirez, Jose & Espinosa-Paredes, Gilberto & Vazquez, Alejandro, 2005. "Detrended fluctuation analysis of the neutronic power from a nuclear reactor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 227-240.
    65. Masih, Mansur & Algahtani, Ibrahim & De Mello, Lurion, 2010. "Price dynamics of crude oil and the regional ethylene markets," Energy Economics, Elsevier, vol. 32(6), pages 1435-1444, November.
    66. Guo, Yangli & Li, Pan & Wu, Hanlin, 2023. "Jumps in the Chinese crude oil futures volatility forecasting: New evidence," Energy Economics, Elsevier, vol. 126(C).
    67. Guo, Sui & Li, Huajiao & An, Haizhong & Ma, Ning & Sun, Qingru & Feng, Sida & Sun, Guangzhao & Liu, Yanxin, 2024. "Detecting the horizontal/vertical price relationship patterns in the global oil industry chain through network analysis," Energy, Elsevier, vol. 296(C).
    68. Xi-Yuan Qian & Ya-Min Liu & Zhi-Qiang Jiang & Boris Podobnik & Wei-Xing Zhou & H. Eugene Stanley, 2015. "Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces," Papers 1504.02435, arXiv.org, revised Apr 2015.
    69. Shao, Mingao & Hua, Yongjun, 2022. "Price discovery efficiency of China's crude oil futures: Evidence from the Shanghai crude oil futures market," Energy Economics, Elsevier, vol. 112(C).
    70. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).
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    Keywords

    Shanghai crude oil futures; Crude oil industry chain; Multiscale coupling; Dependency preference; Multifractal analysis;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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