IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v55y2019i12p2756-2773.html
   My bibliography  Save this article

Interaction between Oil Price and Investor Sentiment: Nonlinear Causality, Time- Varying Influence, and Asymmetric Effect

Author

Listed:
  • Zhifang He
  • Fangzhao Zhou
  • Xiaohua Xia
  • Fenghua Wen
  • Yiyuan Huang

Abstract

This paper investigates the interaction between crude oil prices and individual investor sentiment with the Hiemstra and Jones (HJ) test, the Diks and Panchenko (DP) test, the time-varying parameter structural vector autoregression (TVP-SVAR) model, and the nonlinear autoregressive distributed lags (NARDL) model. Results reveal a bidirectional nonlinear Granger causality, rather than a linear Granger causality, between crude oil prices and individual investor sentiment. Meanwhile, the interactions between the two variables are time-varying, and oil prices negatively affect individual investor sentiment in general. However, the effect of individual sentiment on oil prices is more complicated. It has more significant impacts on oil prices after 2000, and shows a positive influence before the global financial crisis, a minor influence during the crisis, and even a negative influence after the crisis. In addition, the oil price has significant long-run and short-run asymmetric effects on individual investor sentiment, whereas individual investor sentiment has no asymmetric effect on oil prices.

Suggested Citation

  • Zhifang He & Fangzhao Zhou & Xiaohua Xia & Fenghua Wen & Yiyuan Huang, 2019. "Interaction between Oil Price and Investor Sentiment: Nonlinear Causality, Time- Varying Influence, and Asymmetric Effect," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(12), pages 2756-2773, September.
    • Handle: RePEc:mes:emfitr:v:55:y:2019:i:12:p:2756-2773
    DOI: 10.1080/1540496X.2019.1635450
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2019.1635450
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1540496X.2019.1635450?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. Phan, Dinh Hoang Bach & Tran, Vuong Thao & Nguyen, Dat Thanh & Le, Anh, 2020. "The importance of managerial ability on crude oil price uncertainty-firm performance relationship," Energy Economics, Elsevier, vol. 88(C).
    2. 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).
    3. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    4. Lucey, Brian & Ren, Boru, 2021. "Does news tone help forecast oil?," Economic Modelling, Elsevier, vol. 104(C).
    5. Ouyang, Zi-sheng & Liu, Meng-tian & Huang, Su-su & Yao, Ting, 2022. "Does the source of oil price shocks matter for the systemic risk?," Energy Economics, Elsevier, vol. 109(C).
    6. Jain, Prachi & Maitra, Debasish & Kang, Sang Hoon, 2023. "Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk," Energy Economics, Elsevier, vol. 119(C).
    7. He, Zhifang, 2023. "Geopolitical risks and investor sentiment: Causality and TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    8. Szymon Lis, 2022. "Investor Sentiment in Asset Pricing Models: A Review," Working Papers 2022-14, Faculty of Economic Sciences, University of Warsaw.
    9. 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).
    10. Narayan, Paresh Kumar & Narayan, Seema, 2021. "Do opinion polls on government preference influence stock returns?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    11. Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    12. Fasanya, Ismail & Adekoya, Oluwasegun & Oyewole, Oluwatomisin & Adegboyega, Soliu, 2022. "Investor sentiment and energy futures predictability: Evidence from Feasible Quasi Generalized Least Squares," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    13. Chuangxia Huang & Xian Zhao & Renli Su & Xiaoguang Yang & Xin Yang, 2022. "Dynamic network topology and market performance: A case of the Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1962-1978, April.
    14. Zheng, Yan & Zhou, Min & Wen, Fenghua, 2021. "Asymmetric effects of oil shocks on carbon allowance price: Evidence from China," Energy Economics, Elsevier, vol. 97(C).

    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:mes:emfitr:v:55:y:2019:i:12:p:2756-2773. 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/MREE20 .

    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.