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Oil prices and geopolitical risk: Fresh insights based on Granger‐causality in quantiles analysis

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  • Muhammad Shahbaz
  • Arshian Sharif
  • Alaa M. Soliman
  • Zhilun Jiao
  • Shawkat Hammoudeh

Abstract

This study examines the causality relationship between oil price movements and geopolitical risks for a group of 18 geopolitically sensitive countries, using monthly data by implementing all quantiles distributions. Contrary to earlier studies, which have applied the Granger‐causality through the conditional mean regression, this research estimates the association between the variables through Granger causality within quantiles. Evidence of a two‐way causality is found linking the changes in geopolitical risk and fluctuations in oil prices in the case of Thailand, Argentina, Israel, China, Mexico India, Korea, Indonesia, South Africa, Turkey, Philippines, Venezuela, Ukraine, and others. In addition, it is confirmed that oil prices Granger cause geopolitical risks for the countries like Brazil, Malaysia, and Colombia. Furthermore, a one‐way causality direction is found from changes in geopolitical risk to shifts in oil prices in Russia and Saudi Arabia, which are observed as super oil rich states. This study findings highlight the importance of government policies and business strategies that aim at containing the effects of geopolitical risk and the resulting oil price movements.

Suggested Citation

  • Muhammad Shahbaz & Arshian Sharif & Alaa M. Soliman & Zhilun Jiao & Shawkat Hammoudeh, 2024. "Oil prices and geopolitical risk: Fresh insights based on Granger‐causality in quantiles analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2865-2881, July.
    • Handle: RePEc:wly:ijfiec:v:29:y:2024:i:3:p:2865-2881
    DOI: 10.1002/ijfe.2806
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    1. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    2. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    3. Lee, Chien-Chiang & Zeng, Jhih-Hong, 2011. "The impact of oil price shocks on stock market activities: Asymmetric effect with quantile regression," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(9), pages 1910-1920.
    4. Benjamin Smith, 2004. "Oil Wealth and Regime Survival in the Developing World, 1960–1999," American Journal of Political Science, John Wiley & Sons, vol. 48(2), pages 232-246, April.
    5. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    6. Antonakakis, Nikolaos & Gupta, Rangan & Kollias, Christos & Papadamou, Stephanos, 2017. "Geopolitical risks and the oil-stock nexus over 1899–2016," Finance Research Letters, Elsevier, vol. 23(C), pages 165-173.
    7. Sakiru Adebola Solarin & Luis A. Gil‐Alana & Maria Jesus Gonzalez‐Blanch, 2023. "Persistence and dependence in geopolitical risks in various developed and developing countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1488-1496, April.
    8. Christophe, Faugere, 2003. "A Required Yield Theory of Stock Market Valuation and Treasury Yield Determination," MPRA Paper 15579, University Library of Munich, Germany, revised 04 Jun 2009.
    9. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "Energy prices and CO2 emission allowance prices: A quantile regression approach," Energy Policy, Elsevier, vol. 70(C), pages 201-206.
    10. Robert B. Barsky & Lutz Kilian, 2004. "Oil and the Macroeconomy Since the 1970s," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 115-134, Fall.
    11. Hunt Allcott & Daniel Keniston, 2018. "Dutch Disease or Agglomeration? The Local Economic Effects of Natural Resource Booms in Modern America," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 695-731.
    12. Galvao Jr., Antonio F., 2009. "Unit root quantile autoregression testing using covariates," Journal of Econometrics, Elsevier, vol. 152(2), pages 165-178, October.
    13. Sharif, Arshian & Iqbal Godil, Danish & Xu, Bingjie & Sinha, Avik & Abdul Rehman Khan, Syed & Jermsittiparsert, Kittisak, 2020. "Revisiting the Role of Tourism and Globalization in Environmental Degradation in China: Fresh Insights from the Quantile ARDL Approach," MPRA Paper 101156, University Library of Munich, Germany, revised 2020.
    14. Sel Dibooğlu & Eisa Aleisa, 2004. "Oil Prices, Terms of Trade Shocks, and Macroeconomic Fluctuations in Saudi Arabia," Contemporary Economic Policy, Western Economic Association International, vol. 22(1), pages 50-62, January.
    15. Davis, Carlton G. & Langham, Max R., 1995. "Agricultural Industrialization and Sustainable Development: A Global Perspective," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(1), pages 21-34, July.
    16. Hjort, Jonas, 2006. "Citizen funds and Dutch Disease in developing countries," Resources Policy, Elsevier, vol. 31(3), pages 183-191, September.
    17. Morrison, Kevin M., 2009. "Oil, Nontax Revenue, and the Redistributional Foundations of Regime Stability," International Organization, Cambridge University Press, vol. 63(1), pages 107-138, January.
    18. Davis, Carlton George & Langham, Max R., 1995. "Agricultural Industrialization And Sustainable Development: A Global Perspective," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(1), pages 1-14, July.
    19. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    20. Xiao, Zhijie, 2009. "Quantile cointegrating regression," Journal of Econometrics, Elsevier, vol. 150(2), pages 248-260, June.
    21. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable energy, oil prices, and economic activity: A Granger-causality in quantiles analysis," Energy Economics, Elsevier, vol. 70(C), pages 440-452.
    22. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    23. Huiming Zhu & Yawei Guo & Wanhai You, 2015. "An empirical research of crude oil price changes and stock market in China: evidence from the structural breaks and quantile regression," Applied Economics, Taylor & Francis Journals, vol. 47(56), pages 6055-6074, December.
    24. Konstantinos Drakos & Christos Kallandranis, 2015. "A Note on the Effect of Terrorism on Economic Sentiment," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(6), pages 600-608, December.
    25. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    26. Michael E Araki & Marcelo Cabus Klotzle & Antonio C. F. Pinto, 2018. "Carry trades and economic policy uncertainty: measuring the political dimension of the forward rate bias in emerging countries," Economics Bulletin, AccessEcon, vol. 38(3), pages 1476-1484.
    27. Choudhry, Taufiq, 2010. "World War II events and the Dow Jones industrial index," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1022-1031, May.
    28. Weiss, Andrew W, 1980. "Job Queues and Layoffs in Labor Markets with Flexible Wages," Journal of Political Economy, University of Chicago Press, vol. 88(3), pages 526-538, June.
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