IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/v15y2025i6id20599.html

Nonlinear Causal Relationship between Oil Prices, Global Uncertainty and Investor Sentiments

Author

Listed:
  • Bas, Gizem

    (Department of Economics, Faculty of Economics and Administrative Sciences, Hatay Mustafa Kemal University, Antakya, Hatay, Türkiye)

  • Acaravci, Ali

    (Department of Economics, Faculty of Economics and Administrative Sciences, Hatay Mustafa Kemal University, Antakya, Hatay, Türkiye)

Abstract

In recent years, as a result of developments in global markets, the financial decision-making mechanism of individuals has become one of the most debated topics. In the literature, despite the fact that linear relationship between energy market and investor sentiment is investigated, usually traditional tests are applied. Further, uncertainty conditions at the global level are not taken into account within the frame of markets and sentiment relations. The relationship between oil prices and investor sentiment is outstanding for asset allocation and portfolio risk management under conditions of uncertainty. This research paper examines the connection between energy market, global uncertainty and investor sentiment using monthly data between 2004 and 2024. In the analysis, firstly, it is examined that whether the series are linear or not employing linearity test. Then, quantile causality test is applied to the series that are determined to be non-linear. Empirical findings provide that investor sentiment cause oil prices while oil prices cause global uncertainty. In addition, global uncertainty and investor sentiment have a mutual causal relationship. Analysis results revealed that investor sentiment significantly affects the energy markets, and there is a strong association between global uncertainty and investment sentiment.

Suggested Citation

  • Bas, Gizem & Acaravci, Ali, 2025. "Nonlinear Causal Relationship between Oil Prices, Global Uncertainty and Investor Sentiments," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 15(6), pages 781-787, October.
  • Handle: RePEc:eco:journ2:v:15:y:2025:i:6:id:20599
    DOI: 10.32479/ijeep.20599
    as

    Download full text from publisher

    File URL: https://econjournals.com/index.php/ijeep/article/download/20599/9470
    Download Restriction: no

    File URL: https://libkey.io/10.32479/ijeep.20599?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
    ---><---

    References listed on IDEAS

    as
    1. Kumar, Satish, 2019. "Asymmetric impact of oil prices on exchange rate and stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 41-51.
    2. Balcilar, Mehmet & Bonato, Matteo & Demirer, Riza & Gupta, Rangan, 2017. "The effect of investor sentiment on gold market return dynamics: Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 51(C), pages 77-84.
    3. Saleh Mothana Obadi & Matej Korcek, 2024. "The Relationship between Geopolitical Events and the Crude Oil Prices: An Application of ARDL Model," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 14(5), pages 85-97, September.
    4. Qadan, Mahmoud & Nama, Hazar, 2018. "Investor sentiment and the price of oil," Energy Economics, Elsevier, vol. 69(C), pages 42-58.
    5. Audi, Marc & Poulin, Marc & Ahmad, Khalil & Ali, Amjad, 2025. "Quantile Analysis of Oil Price Shocks and Stock Market Performance: A European Perspective," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 15(2), pages 624-636, February.
    6. Ji, Qiang & Li, Jianping & Sun, Xiaolei, 2019. "Measuring the interdependence between investor sentiment and crude oil returns: New evidence from the CFTC's disaggregated reports," Finance Research Letters, Elsevier, vol. 30(C), pages 420-425.
    7. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    8. Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
    9. Narayan, Paresh Kumar & Sharma, Susan & Poon, Wai Ching & Westerlund, Joakim, 2014. "Do oil prices predict economic growth? New global evidence," Energy Economics, Elsevier, vol. 41(C), pages 137-146.
    10. Filis, George & Degiannakis, Stavros & Floros, Christos, 2011. "Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 152-164, June.
    11. Filis, George, 2010. "Macro economy, stock market and oil prices: Do meaningful relationships exist among their cyclical fluctuations?," Energy Economics, Elsevier, vol. 32(4), pages 877-886, July.
    12. Ahdi Noomen Ajmi & Ghassen El-montasser & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Oil prices and MENA stock markets: new evidence from nonlinear and asymmetric causalities during and after the crisis period," Applied Economics, Taylor & Francis Journals, vol. 46(18), pages 2167-2177, June.
    13. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    14. Zhao, Lu-Tao & Zheng, Zhi-Yi & Wei, Yi-Ming, 2023. "Forecasting oil inventory changes with Google trends: A hybrid wavelet decomposer and ARDL-SVR ensemble model," Energy Economics, Elsevier, vol. 120(C).
    15. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    16. Shahzad, Syed Jawad Hussain & Raza, Naveed & Balcilar, Mehmet & Ali, Sajid & Shahbaz, Muhammad, 2017. "Can economic policy uncertainty and investors sentiment predict commodities returns and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 208-218.
    17. Sakariyahu, Rilwan & Lawal, Rodiat & Adigun, Rasheed & Paterson, Audrey & Johan, Sofia, 2024. "One crash, too many: Global uncertainty, sentiment factors and cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Giraldo, Carlos & Giraldo, Iader & Huertas, Cristian & Sanchez, Juan Camilo, 2026. "Determinants of Financial Hedging Strategies among Commodity Producer Firms in Latin America," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 16(2), pages 1-11, January.

    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. Zhang, Hao & Cai, Guixin & Yang, Dongxiao, 2020. "The impact of oil price shocks on clean energy stocks: Fresh evidence from multi-scale perspective," Energy, Elsevier, vol. 196(C).
    2. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
    3. Mishra, Shekhar & Mishra, Sibanjan, 2021. "Are Indian sectoral indices oil shock prone? An empirical evaluation," Resources Policy, Elsevier, vol. 70(C).
    4. Tsai, I-Chun & Chen, Han-Bo & Lin, Che-Chun, 2024. "The ability of energy commodities to hedge the dynamic risk of epidemic black swans," Resources Policy, Elsevier, vol. 89(C).
    5. He, Zhifang, 2020. "Dynamic impacts of crude oil price on Chinese investor sentiment: Nonlinear causality and time-varying effect," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 131-153.
    6. Maghyereh, Aktham & Abdoh, Hussein, 2020. "The tail dependence structure between investor sentiment and commodity markets," Resources Policy, Elsevier, vol. 68(C).
    7. Liu, Wenwen & Zhao, Peng & Luo, Ziyang & Tang, Miaomiao, 2024. "The dynamic impact of network attention on natural resources prices in pre-and post-Russian-Ukrainian war," Resources Policy, Elsevier, vol. 97(C).
    8. 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.
    9. Miao, Miao & Khaskheli, Asadullah & Raza, Syed Ali & Yousufi, Sara Qamar, 2022. "Using internet search keyword data for predictability of precious metals prices: Evidence from non-parametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 75(C).
    10. Gomez-Gonzalez, Jose E. & Hirs-Garzon, Jorge & Gamboa-Arbelaez, Juliana, 2020. "Dynamic relations between oil and stock market returns: A multi-country study," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    11. Lee, Chi-Chuan & Lee, Chien-Chiang & Ning, Shao-Lin, 2017. "Dynamic relationship of oil price shocks and country risks," Energy Economics, Elsevier, vol. 66(C), pages 571-581.
    12. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 1-26.
    13. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 28-49.
    14. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    15. 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.
    16. George Filis & Ioannis Chatziantoniou, 2014. "Financial and monetary policy responses to oil price shocks: evidence from oil-importing and oil-exporting countries," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 709-729, May.
    17. Jiang, Yong & Ren, Yi-Shuai & Ma, Chao-Qun & Liu, Jiang-Long & Sharp, Basil, 2020. "Does the price of strategic commodities respond to U.S. partisan conflict?," Resources Policy, Elsevier, vol. 66(C).
    18. Gatfaoui, Hayette, 2016. "Linking the gas and oil markets with the stock market: Investigating the U.S. relationship," Energy Economics, Elsevier, vol. 53(C), pages 5-16.
    19. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2025. "Quantile connectedness among climate policy uncertainty, news sentiment, oil and renewables in China," Research in International Business and Finance, Elsevier, vol. 76(C).
    20. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:eco:journ2:v:15:y:2025:i:6:id:20599. 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: Monica Sinhat (email available below). General contact details of provider: https://econjournals.com/index.php/ijeep .

    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.