IDEAS home Printed from https://ideas.repec.org/a/bpj/pepspp/v29y2023i2p171-187n6.html
   My bibliography  Save this article

Geopolitical Risk and Energy Market

Author

Listed:
  • Hudecova Kristina
  • Rajcaniova Miroslava

    (Institute of Economic Policy and Finance, Slovak University of Agriculture in Nitra, Nitra, Slovakia)

Abstract

The fundamental aim of this paper is to test the symmetric and asymmetric effects of geopolitical risk on the five selected prices of energy commodities, consisting of coal, crude oil, gasoline, heating oil, and natural gas, during the period 2 January 2020–29 July 2022 by application of linear and nonlinear ARDL models. Moreover, we also study the impact of anticipated financial volatility on energy commodities. Our results suggest that, over the long term, there is no linear relationship between geopolitical risk, financial volatility, and energy prices. On the other hand, we find statistically significant asymmetrical effects of geopolitical risk and financial volatility on crude oil, gasoline, and heating oil prices in the long and short run. We also identify that coal and natural gas prices do not respond to changes in geopolitical risk during the analysed period.

Suggested Citation

  • Hudecova Kristina & Rajcaniova Miroslava, 2023. "Geopolitical Risk and Energy Market," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 29(2), pages 171-187, May.
  • Handle: RePEc:bpj:pepspp:v:29:y:2023:i:2:p:171-187:n:6
    DOI: 10.1515/peps-2022-0033
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/peps-2022-0033
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/peps-2022-0033?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.

    More about this item

    Keywords

    energy commodity; geopolitical risk; financial volatility;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - 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:bpj:pepspp:v:29:y:2023:i:2:p:171-187:n:6. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.