IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2024-05-9.html
   My bibliography  Save this article

The Relationship between Geopolitical Events and the Crude Oil Prices: An Application of ARDL Model

Author

Listed:
  • Saleh Mothana Obadi

    (Institute of Economic Research, Slovak Academy of Sciences, Å ancová Ä . 5681105 Bratislava, Slovakia)

  • Matej Korcek

    (Institute of Economic Research, Slovak Academy of Sciences, Å ancová Ä . 5681105 Bratislava, Slovakia)

Abstract

This paper aims to explore the short-run and long-run relationship between geopolitical events and crude oil prices for the period 2000-2023. In addition to geopolitical events, we included the market factors whose data were available in the right part of the equation. To investigate long-run cointegration, this paper used quarterly data and employed the Autoregressive distributed lagged (ARDL) bounds testing approach developed by (Pesaran et al., 2001). Study findings from the ARDL bound testing approach confirm the existence of a long-run and short-run association between geopolitical events and crude oil prices. Furthermore, the findings from the ARDL model revealed that, among others, world crude oil production; OECD’s crude oil stocks, and OECD economic growth have a significant effect on the dependent variable (crude oil prices) both in the long run and short run.

Suggested Citation

  • 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, Econjournals, vol. 14(5), pages 85-97, September.
    • Handle: RePEc:eco:journ2:2024-05-9
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/16487/8125
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/16487
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. Lutz Kilian, 2017. "The Impact of the Fracking Boom on Arab Oil Producers," The Energy Journal, , vol. 38(6), pages 137-160, November.
    3. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    4. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Edwards, Sebastian & Ostry, Jonathan D, 1992. "Terms of Trade Disturbances, Real Exchange Rates, and Welfare: The Role of Capital Controls and Labor Market Distortions," Oxford Economic Papers, Oxford University Press, vol. 44(1), pages 20-34, January.
    7. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    8. Md. Qamruzzaman & Jianguo Wei, 2018. "Financial Innovation, Stock Market Development, and Economic Growth: An Application of ARDL Model," IJFS, MDPI, vol. 6(3), pages 1-30, August.
    9. Corden, W Max & Neary, J Peter, 1982. "Booming Sector and De-Industrialisation in a Small Open Economy," Economic Journal, Royal Economic Society, vol. 92(368), pages 825-848, December.
    Full references (including those not matched with items on IDEAS)

    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. de Albuquerquemello, Vinícius Phillipe & de Medeiros, Rennan Kertlly & da Nóbrega Besarria, Cássio & Maia, Sinézio Fernandes, 2018. "Forecasting crude oil price: Does exist an optimal econometric model?," Energy, Elsevier, vol. 155(C), pages 578-591.
    2. Mohaddes, Kamiar & Pesaran, M. Hashem, 2016. "Country-specific oil supply shocks and the global economy: A counterfactual analysis," Energy Economics, Elsevier, vol. 59(C), pages 382-399.
    3. Lutz Kilian & Xiaoqing Zhou, 2023. "The Econometrics of Oil Market VAR Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 65-95, Emerald Group Publishing Limited.
    4. Benedikt Goderis & Samuel W. Malone, 2011. "Natural Resource Booms and Inequality: Theory and Evidence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 113, pages 388-417, June.
    5. Shahbaz, Muhammad & Ahmed, Khalid & Tiwari, Aviral Kumar & Jiao, Zhilun, 2019. "Resource curse hypothesis and role of oil prices in USA," Resources Policy, Elsevier, vol. 64(C).
    6. Charfeddine, Lanouar & Barkat, Karim, 2020. "Short- and long-run asymmetric effect of oil prices and oil and gas revenues on the real GDP and economic diversification in oil-dependent economy," Energy Economics, Elsevier, vol. 86(C).
    7. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    8. Theodosios Anastasios Perifanis, 2022. "The Macroeconomic Results of Diligent Resource Revenues Management: The Norwegian Case," Energies, MDPI, vol. 15(4), pages 1-14, February.
    9. Brahmbhatt, Milan & Canuto, Otaviano & Vostroknutova, Ekaterina, 2010. "Dealing with Dutch Disease," World Bank - Economic Premise, The World Bank, issue 16, pages 1-7, June.
    10. Jacks, David S. & Stuermer, Martin, 2020. "What drives commodity price booms and busts?," Energy Economics, Elsevier, vol. 85(C).
    11. Samad, Abdul & Masih, Mansur, 2018. "Does institutional quality matter in attracting foreign direct investment? the case of Ethiopia based on ARDL approach," MPRA Paper 108493, University Library of Munich, Germany.
    12. Hansen, James & Gross, Isaac, 2018. "Commodity price volatility with endogenous natural resources," European Economic Review, Elsevier, vol. 101(C), pages 157-180.
    13. Ketenci, Natalya, 2009. "The ARDL Approach to Cointegration Analysis of Tourism Demand in Turkey: with Greece as the substitution destination," MPRA Paper 86602, University Library of Munich, Germany.
    14. Ekaterini Panopoulou, 2005. "A Resolution of the Fisher Effect Puzzle: A Comparison of Estimators," The Institute for International Integration Studies Discussion Paper Series iiisdp067, IIIS.
    15. Andrade de Sá, Saraly & Daubanes, Julien, 2016. "Limit pricing and the (in)effectiveness of the carbon tax," Journal of Public Economics, Elsevier, vol. 139(C), pages 28-39.
    16. Ben-Salha, Ousama & Dachraoui, Hajer & Sebri, Maamar, 2021. "Natural resource rents and economic growth in the top resource-abundant countries: A PMG estimation," Resources Policy, Elsevier, vol. 74(C).
    17. Satti, Saqlain Latif & Farooq, Abdul & Loganathan, Nanthakumar & Shahbaz, Muhammad, 2014. "Empirical evidence on the resource curse hypothesis in oil abundant economy," Economic Modelling, Elsevier, vol. 42(C), pages 421-429.
    18. Bouoiyour, Jamal & Selmi, Refk & Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2015. "The nexus between oil price and Russia's real exchange rate: Better paths via unconditional vs conditional analysis," Energy Economics, Elsevier, vol. 51(C), pages 54-66.
    19. Bhatta, Siddha Raj, 2011. "Stability of demand for money function in Nepal: A cointegration and error correction modeling approach," MPRA Paper 41404, University Library of Munich, Germany.
    20. Darko B. Vuković & Senanu Dekpo-Adza & Vladislav Khmelnitskiy & Mustafa Özer, 2023. "Spillovers across the Asian OPEC+ Financial Market," Mathematics, MDPI, vol. 11(18), pages 1-23, September.

    More about this item

    Keywords

    Geopolitical Factors; Oil Prices; ARDL Model; Oil Supply and Demand; Cointegration;
    All these keywords.

    JEL classification:

    • P27 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Performance and Prospects
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • 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

    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:journ2:2024-05-9. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.