JOURNAL ARTICLE
How Do GCC Countries Stocks Interact With US and European Debt Markets?
Published In: International Journal of Finance & Economics, 2026, v. 31, n. 1. P. 70 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Hanif, Waqas; El Khoury, Rim; Gubareva, Mariya 3 of 3
Abstract
This study conducts a comprehensive analysis of interconnectedness in Gulf Cooperation Council (GCC) equity markets and global bond markets, primarily focusing on European Monetary Union (EMU) and US bonds, from July 2007 to September 2023. Using innovative methodologies such as quantile connectedness and quantile coherency, we capture the dynamic relationships across different market conditions, particularly during extreme events. The quantile connectedness includes a moderate to low degree of interconnectedness during normal market conditions, intensifying during extreme market conditions. The United Arab Emirates (UAE) and Saudi Arabia are identified as influential players, transcending borders to impact returns in other GCC markets. Roles of GCC countries as net transmitters or receivers of returns shift over time, necessitating adaptable investment strategies. The interconnectedness of GCC markets with bonds responds differently to global crises and turbulences, including geopolitical and health crises. Our quantile coherence analysis provides insights for risk management and portfolio allocation. These findings have crucial implications for investors, encouraging adaptive asset allocation strategies, and for policymakers to monitor intra‐regional spillovers in shaping market dynamics. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Finance & Economics. 2026/01, Vol. 31, Issue 1, p70
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2026
- ISSN:1076-9307
- DOI:10.1002/ijfe.3129
- Accession Number:190955516
- Copyright Statement:Copyright of International Journal of Finance & Economics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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