IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v47y2015i56p6055-6074.html
   My bibliography  Save this article

An empirical research of crude oil price changes and stock market in China: evidence from the structural breaks and quantile regression

Author

Listed:
  • Huiming Zhu
  • Yawei Guo
  • Wanhai You

Abstract

This article investigates the relationship between real crude oil price changes and the Chinese real stock market at the industry level. Our study uses monthly data over the period 1994:03 to 2013:12. Based on input-output (IO) tables, this article will explore more details for the driving factors of sensitivity to oil price changes. We divide these driving factors into cost- and demand-side dependence. Empirical results reveal that sensitivity varies across different industries and periods based on structural breaks and asymmetric effects of oil price changes. Furthermore, some industries seemingly not directly affected by oil are sensitive to the real oil price changes. Finally, using a penalized quantile regression for panel data, we find that these two factors significantly affect lower, but not upper, quantile of sensitivity.

Suggested Citation

  • Huiming Zhu & Yawei Guo & Wanhai You, 2015. "An empirical research of crude oil price changes and stock market in China: evidence from the structural breaks and quantile regression," Applied Economics, Taylor & Francis Journals, vol. 47(56), pages 6055-6074, December.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:56:p:6055-6074
    DOI: 10.1080/00036846.2015.1064076
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2015.1064076
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2015.1064076?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Bi-Bo, 2021. "The dynamics of oil on China’s commodity sectors: What can we learn from a quantile perspective?," Journal of Commodity Markets, Elsevier, vol. 23(C).
    2. Jilong Chen & Christian Ewald & Ruolan Ouyang & Sjur Westgaard & Xiaoxia Xiao, 2022. "Pricing commodity futures and determining risk premia in a three factor model with stochastic volatility: the case of Brent crude oil," Annals of Operations Research, Springer, vol. 313(1), pages 29-46, June.
    3. Hamdi, Besma & Aloui, Mouna & Alqahtani, Faisal & Tiwari, Aviral, 2019. "Relationship between the oil price volatility and sectoral stock markets in oil-exporting economies: Evidence from wavelet nonlinear denoised based quantile and Granger-causality analysis," Energy Economics, Elsevier, vol. 80(C), pages 536-552.
    4. 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.
    5. Ahmed H. Elsayed & Gareth Downing & Chi Keung Marco Lau & Xin Sheng, 2024. "Exploring the role of oil shocks on the financial stability of Gulf Cooperation Council countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1804-1819, April.
    6. Mercan Hatipoglu, 2023. "What Determined Stock Returns in Turkey from 1990 to 2022: Evidence from Structural Break Regression," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-1), pages 185-202, June.
    7. 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).
    8. Elisa Di Febo & Matteo Foglia & Eliana Angelini, 2021. "Tail Risk and Extreme Events: Connections between Oil and Clean Energy," Risks, MDPI, vol. 9(2), pages 1-13, February.
    9. Youssef, Manel & Mokni, Khaled, 2020. "Modeling the relationship between oil and USD exchange rates: Evidence from a regime-switching-quantile regression approach," Journal of Multinational Financial Management, Elsevier, vol. 55(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. Bonga-Bonga, Lumengo, 2024. "Exploring the sensitivity of BRICS stock markets to oil Price shocks: a quantile-on-quantile perspective," MPRA Paper 120190, University Library of Munich, Germany.
    12. Salah A. Nusair & Jamal A. Al-Khasawneh, 2018. "Oil price shocks and stock market returns of the GCC countries: empirical evidence from quantile regression analysis," Economic Change and Restructuring, Springer, vol. 51(4), pages 339-372, November.
    13. Das, Debojyoti & Kannadhasan, M., 2020. "The asymmetric oil price and policy uncertainty shock exposure of emerging market sectoral equity returns: A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 563-581.
    14. Chen, Qitong & Zhu, Huiming & Yu, Dongwei & Hau, Liya, 2022. "How does investor attention matter for crude oil prices and returns? Evidence from time-frequency quantile causality analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    15. Nikolaos Sariannidis & Grigoris Giannarakis & Eleni Zafeiriou & Ioannis Billias, 2016. "The Effect of Crude Oil Price Moments on Socially Responsible Firms in Eurozone," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 356-363.
    16. Muhammad Shahbaz & Arshian Sharif & Alaa M. Soliman & Zhilun Jiao & Shawkat Hammoudeh, 2024. "Oil prices and geopolitical risk: Fresh insights based on Granger‐causality in quantiles analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2865-2881, July.
    17. He, Zhifang & Sun, Hao & Chen, Jiaqi & Yang, Xin & Yin, Zhujia, 2023. "Dynamic interaction of risk–return trade-offs between oil market and China’s stock market: An analysis from the risk preferences perspective," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    18. Nusair, Salah A. & Olson, Dennis, 2019. "The effects of oil price shocks on Asian exchange rates: Evidence from quantile regression analysis," Energy Economics, Elsevier, vol. 78(C), pages 44-63.
    19. 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.
    20. Smyth, Russell & Narayan, Paresh Kumar, 2018. "What do we know about oil prices and stock returns?," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 148-156.
    21. Gao, Xiangyun & Fang, Wei & An, Feng & Wang, Yue, 2017. "Detecting method for crude oil price fluctuation mechanism under different periodic time series," Applied Energy, Elsevier, vol. 192(C), pages 201-212.
    22. Mushtaq Hussain Khan & Junaid Ahmed & Mazhar Mughal, 2022. "Dependence between oil price changes and sectoral stock returns in Pakistan: Evidence from a quantile regression approach," Energy & Environment, , vol. 33(2), pages 315-331, March.
    23. 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.
    24. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    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:taf:applec:v:47:y:2015:i:56:p:6055-6074. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.