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Sectoral Responses of the Chinese Stock Market to International Oil Shocks

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  • Dayong Zhang
  • Hong Cao

Abstract

We investigate the relationship between international oil shocks and the sectoral dynamics of the Chinese stock market. Our empirical results show that the behavior and response to international oil shocks by the Chinese stock market differ significantly from the behavior and responses of the European stock market as documented in the literature. In China, only the mining industry has a strong and consistent link with international oil shocks when systematic risk factors are controlled. There is no clear evidence of asymmetries in China's sectoral stock-oil relationship.

Suggested Citation

  • Dayong Zhang & Hong Cao, 2013. "Sectoral Responses of the Chinese Stock Market to International Oil Shocks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(6), pages 37-51, November.
    • Handle: RePEc:mes:emfitr:v:49:y:2013:i:6:p:37-51
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    Citations

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    Cited by:

    1. 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.
    2. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
    3. Civcir, Irfan & Akkoc, Ugur, 2021. "Non-linear ARDL approach to the oil-stock nexus: Detailed sectoral analysis of the Turkish stock market," Resources Policy, Elsevier, vol. 74(C).
    4. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
    5. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
    6. Fang, Sheng & Egan, Paul, 2018. "Measuring contagion effects between crude oil and Chinese stock market sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 31-38.
    7. Chen, Chun-Da & Cheng, Chiao-Ming & Demirer, Rıza, 2017. "Oil and stock market momentum," Energy Economics, Elsevier, vol. 68(C), pages 151-159.
    8. David C. Broadstock & Ying Fan & Qiang Ji & Dayong Zhang, 2016. "Shocks and Stocks: A Bottom-up Assessment of the Relationship Between Oil Prices, Gasoline Prices and the Returns of Chinese Firms," The Energy Journal, , vol. 37(1_suppl), pages 55-86, January.
    9. Xiao, Jihong & Hu, Chunyan & Ouyang, Guangda & Wen, Fenghua, 2019. "Impacts of oil implied volatility shocks on stock implied volatility in China: Empirical evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 80(C), pages 297-309.
    10. Chen, Zhonglu & Ye, Yong & Li, Xiafei, 2022. "Forecasting China's crude oil futures volatility: New evidence from the MIDAS-RV model and COVID-19 pandemic," Resources Policy, Elsevier, vol. 75(C).
    11. Toparlı, Elif Akay & Çatık, Abdurrahman Nazif & Balcılar, Mehmet, 2019. "The impact of oil prices on the stock returns in Turkey: A TVP-VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    12. Silky Vigg Kushwah & Areej Aftab Siddiqui, 2023. "Relationship Between Oil Price Movements and Stock Returns of Oil Firms in Oil Importing Economies," Global Business Review, International Management Institute, vol. 24(5), pages 916-932, October.
    13. Ferreira, Paulo & Pereira, Éder Johson de Area Leão & Silva, Marcus Fernandes da & Pereira, Hernane Borges, 2019. "Detrended correlation coefficients between oil and stock markets: The effect of the 2008 crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 86-96.
    14. Zhang, Dayong, 2017. "Oil shocks and stock markets revisited: Measuring connectedness from a global perspective," Energy Economics, Elsevier, vol. 62(C), pages 323-333.
    15. Ferreira, Paulo & Pereira, Éder & Silva, Marcus, 2020. "The relationship between oil prices and the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    16. Lv, Xin & Lien, Donald & Yu, Chang, 2020. "Who affects who? Oil price against the stock return of oil-related companies: Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 85-100.
    17. Xiao, Jihong & Zhou, Min & Wen, Fengming & Wen, Fenghua, 2018. "Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index," Energy Economics, Elsevier, vol. 74(C), pages 777-786.
    18. An, Zhiyong & Tan, Congyan, 2014. "Taxation and income shifting: Empirical evidence from a quasi-experiment in China," Economic Systems, Elsevier, vol. 38(4), pages 588-596.
    19. Zhang, Jin & Xie, Mingjia, 2016. "China's oil product pricing mechanism: What role does it play in China's macroeconomy?," China Economic Review, Elsevier, vol. 38(C), pages 209-221.
    20. Lin, Boqiang & Su, Tong, 2020. "The linkages between oil market uncertainty and Islamic stock markets: Evidence from quantile-on-quantile approach," Energy Economics, Elsevier, vol. 88(C).
    21. Ma, Yan-Ran & Zhang, Dayong & Ji, Qiang & Pan, Jiaofeng, 2019. "Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter?," Energy Economics, Elsevier, vol. 81(C), pages 536-544.
    22. Chen, Bin-xia & Sun, Yan-lin, 2023. "Extreme risk contagion between international crude oil and China's energy-intensive sectors: New evidence from quantile Granger causality and spillover methods," Energy, Elsevier, vol. 285(C).
    23. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019. "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, vol. 79(C), pages 47-56.

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