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Relationship between different sources of geopolitical risks and stock markets in the GCC region: a dynamic correlation analysis

Abdullah Alqahtani (Suffolk University, Boston, Massachusetts, USA)
Shawkat Hammoudeh (Lebow College of Business, Drexel University, Philadelphia, Pennsylvania, USA) (Institute of Business Research, University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam)
Refk Selmi (Pau Business School, Pau, France)

Review of Behavioral Finance

ISSN: 1940-5979

Article publication date: 11 January 2021

Issue publication date: 4 April 2022

467

Abstract

Purpose

The findings would help in designing useful and relevant hedging strategies against geopolitical risks (GPRs), which are rampant in the Gulf Cooperation Council (GCC) region.

Design/methodology/approach

This study focuses on the regional and global costs of GPRs for businesses in the Gulf region.

Findings

The results of the analysis show that the time-varying conditional correlation between the stock returns of the GCC countries and the Saudi Arabian geopolitical risk is consistently negative, suggesting that the Saudi Arabian geopolitical risk hurts the GCC stock markets, thus underscoring the importance of studying regional GPRs.

Originality/value

The contribution of this paper is twofold: First, it uses a newly geopolitical risk index that includes recent geopolitical events not included in the Caldara and Iacoviello (2018) index. In addition to war threats and acts, terrorist threats and acts and nuclear threats, the authors consider global trade tensions (GTTs), Saudi Arabia's geopolitical risk and OPEC news mainly related to OPEC oil production levels. Second, it assesses whether Saudi Arabia, which is the largest economy in the region and the main global oil exporter, is really a risk exporter to the rest of the GCC countries.

Keywords

Citation

Alqahtani, A., Hammoudeh, S. and Selmi, R. (2022), "Relationship between different sources of geopolitical risks and stock markets in the GCC region: a dynamic correlation analysis", Review of Behavioral Finance, Vol. 14 No. 2, pp. 296-316. https://doi.org/10.1108/RBF-07-2019-0099

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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