IDEAS home Printed from https://ideas.repec.org/a/taf/repsxx/v10y2022i3p253-265.html
   My bibliography  Save this article

Geopolitical risks, uncertainty, and stock market performance

Author

Listed:
  • Maria-Eleni K. Agoraki
  • Georgios P. Kouretas
  • Nikiforos T. Laopodis

Abstract

This paper analyses the impact of geopolitical risks and economic policy uncertainty on stock returns. It uses an unbalanced panel dataset of monthly observations for 22 countries for the period 1985–2020. It controls for a set of macroeconomic and market structure variables while also taking into consideration the potential effects of the 2007–2009 financial crisis. This paper shows that the impact of geopolitical risks is negative and statistically significant. The economic interpretation of our main results is that a one-unit standard deviation increase in geopolitical risks decreases stock returns by 10.53–42.14% of its sample mean. For comparison, this paper uses alternatively the global economic policy uncertainty index and the economic policy uncertainty country index, and also finds a statistically significant negative relationship although it is weaker in the latter case.

Suggested Citation

  • Maria-Eleni K. Agoraki & Georgios P. Kouretas & Nikiforos T. Laopodis, 2022. "Geopolitical risks, uncertainty, and stock market performance," Economic and Political Studies, Taylor & Francis Journals, vol. 10(3), pages 253-265, July.
  • Handle: RePEc:taf:repsxx:v:10:y:2022:i:3:p:253-265
    DOI: 10.1080/20954816.2022.2095749
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20954816.2022.2095749
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20954816.2022.2095749?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. Wen, Chufu & Zhu, Haoyang & Dai, Zhifeng, 2023. "Forecasting commodity prices returns: The role of partial least squares approach," Energy Economics, Elsevier, vol. 125(C).
    2. Khan, Nasir & Saleem, Asima & Ozkan, Oktay, 2023. "Do geopolitical oil price risk influence stock market returns and volatility of Pakistan: Evidence from novel non-parametric quantile causality approach," Resources Policy, Elsevier, vol. 81(C).
    3. Wen, Fenghua & Chen, Meng & Zhang, Yun & Miao, Xiao, 2023. "Oil price uncertainty and audit fees: Evidence from the energy industry," Energy Economics, Elsevier, vol. 125(C).
    4. Wen, Fenghua & Lin, Diyue & Hu, Lei & He, Shaoyi & Cao, Zhiling, 2023. "The spillover effect of corporate frauds and stock price crash risk," Finance Research Letters, Elsevier, vol. 57(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:taf:repsxx:v:10:y:2022:i:3:p:253-265. 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/reps .

    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.