IDEAS home Printed from https://ideas.repec.org/a/ibn/resjnl/v14y2025i4p39.html
   My bibliography  Save this article

Crude Oil Price Shocks and Stock Market Volatility: Evidence From China

Author

Listed:
  • GAO Hui
  • GAO Tian Chen

Abstract

As the first international futures variety in China, crude oil futures, its price influence and function play has attracted much attention at home and abroad, from the perspective of market performance, crude oil futures have had a greater impact on the capital market since its launch, and what needs to be further studied is the quantitative degree and complexity of the impact of crude oil futures price fluctuations on stock market fluctuations. The daily data from March 26, 2018 to July 5, 2022 were selected to study the influence of domestic crude oil futures prices on domestic Shanghai and Shenzhen stock index by Granger causality, cointegration test and smooth transition regression model. The study shows that the price and yield of domestic crude oil futures have a one-way guiding effect on the domestic Shanghai and Shenzhen stock indexes and yields, but their guiding effect on the Shenzhen component index is greater than that of the Shanghai Composite Index. Domestic crude oil futures prices and Shanghai and Shenzhen stock indexes have a long-term similar negative cointegration relationship. The positive and negative impact of the domestic crude oil futures price yield on Shanghai and Shenzhen stock index yields is non-linear and asymmetrical, but the mechanism of impact on the two stock markets is different, for the Shanghai stock market, the negative impact of the crude oil futures price yield is greater than the positive shock impact, for the Shenzhen stock market, the positive impact of the crude oil futures price yield is greater than the negative shock impact, and the impact on both stock markets was limited. Therefore, for domestic crude oil futures to become the global crude oil price benchmark, they also need to be continuously improved in terms of national policies, industry supervision, exchange rules and market system construction.

Suggested Citation

  • GAO Hui & GAO Tian Chen, 2025. "Crude Oil Price Shocks and Stock Market Volatility: Evidence From China," Review of European Studies, Canadian Center of Science and Education, vol. 14(4), pages 1-39, January.
  • Handle: RePEc:ibn:resjnl:v:14:y:2025:i:4:p:39
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/res/article/download/0/0/47955/51573
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/res/article/view/0/47955
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Broadstock, David C. & Filis, George, 2014. "Oil price shocks and stock market returns: New evidence from the United States and China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 417-433.
    3. Mohamed El Hedi Arouri & Christophe Rault, 2012. "Oil Prices And Stock Markets In Gcc Countries: Empirical Evidence From Panel Analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 242-253, July.
    4. Ji, Qiang & Liu, Bing-Yue & Zhao, Wan-Li & Fan, Ying, 2020. "Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS," International Review of Financial Analysis, Elsevier, vol. 68(C).
    5. Ma, Yu & Zhang, Yang & Ji, Qiang, 2021. "Do oil shocks affect Chinese bank risk?," Energy Economics, Elsevier, vol. 96(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hanif, Waqas & Hadhri, Sinda & El Khoury, Rim, 2024. "Quantile spillovers and connectedness between oil shocks and stock markets of the largest oil producers and consumers," Journal of Commodity Markets, Elsevier, vol. 34(C).
    2. Zhao, Jing & Cui, Luansong & Liu, Weiguo & Zhang, Qiwen, 2023. "Extreme risk spillover effects of international oil prices on the Chinese stock market: A GARCH-EVT-Copula-CoVaR approach," Resources Policy, Elsevier, vol. 86(PB).
    3. Bai, Shuming & Koong, Kai S., 2018. "Oil prices, stock returns, and exchange rates: Empirical evidence from China and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 12-33.
    4. Sadeghi, Abdorasoul & Roudari, Soheil, 2022. "Heterogeneous effects of oil structure and oil shocks on stock prices in different regimes: Evidence from oil-exporting and oil-importing countries," Resources Policy, Elsevier, vol. 76(C).
    5. 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).
    6. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    7. Yin, Libo & Cao, Hong & Xin, Yu, 2024. "Impact of crude oil price innovations on global stock market volatility: Evidence across time and space," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    8. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    9. Al-Fayoumi, Nedal & Bouri, Elie & Abuzayed, Bana, 2023. "Decomposed oil price shocks and GCC stock market sector returns and volatility," Energy Economics, Elsevier, vol. 126(C).
    10. Asil Azimli, 2022. "Oil price risk and the cross‐section of stock returns in Turkey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4105-4122, October.
    11. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    12. Stavros Degiannakis & George Filis & Vipin Arora, 2018. "Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence," The Energy Journal, , vol. 39(5), pages 85-130, September.
    13. Boldanov, Rustam & Degiannakis, Stavros & Filis, George, 2016. "Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 209-220.
    14. Silvapulle, Param & Smyth, Russell & Zhang, Xibin & Fenech, Jean-Pierre, 2017. "Nonparametric panel data model for crude oil and stock market prices in net oil importing countries," Energy Economics, Elsevier, vol. 67(C), pages 255-267.
    15. Elsayed, Ahmed H. & Naifar, Nader & Uddin, Gazi Salah & Wang, Gang-Jin, 2023. "Multilayer information spillover networks between oil shocks and banking sectors: Evidence from oil-rich countries," International Review of Financial Analysis, Elsevier, vol. 87(C).
    16. Sunil K. Mohanty & Joseph Onochie & Abdulrahman F. Alshehri, 2018. "Asymmetric effects of oil shocks on stock market returns in Saudi Arabia: evidence from industry level analysis," Review of Quantitative Finance and Accounting, Springer, vol. 51(3), pages 595-619, October.
    17. Mohammad Enamul Hoque & Soo-Wah Low & Mohd Azlan Shah Zaidi, 2020. "The Effects of Oil and Gas Risk Factors on Malaysian Oil and Gas Stock Returns: Do They Vary?," Energies, MDPI, vol. 13(15), pages 1-22, July.
    18. Yang, Junqi & Geng, Jiang-Bo & Liang, Ziwei, 2024. "Time-varying effects of structural oil price shocks on financial market uncertainty," Energy Economics, Elsevier, vol. 139(C).
    19. Dinesh Gajurel & Akhila Chawla, 2022. "The oil price crisis and contagion effects on the Canadian economy," Applied Economics, Taylor & Francis Journals, vol. 54(13), pages 1527-1543, March.
    20. Nidhaleddine Ben Cheikh & Sami Ben Naceur & Oussama Kanaan & Christophe Rault, 2018. "Oil Prices and GCC Stock Markets: New Evidence from Smooth Transition Models," CESifo Working Paper Series 7072, CESifo.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:resjnl:v:14:y:2025:i:4:p:39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.