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Dynamic Shock-Transmission Mechanism Between U.S. Trade Policy Uncertainty and Sharia-Compliant Stock Market Volatility of GCC Economies

Author

Listed:
  • Mosab I. Tabash

    (Department of Business Administration, College of Business, Al Ain University, Al Ain P.O. Box 64141, United Arab Emirates)

  • Suzan Sameer Issa

    (Faculty of Administrative and Financial Sciences, University of Petra, Amman P.O. Box 961343, Jordan)

  • Marwan Mansour

    (Jadara Research Center, Jadara University, Irbid 21110, Jordan
    Executive Education, and Professional Development Center, Awang Had Salleh Graduate School, College of Art and Science, Universiti Utara Malaysia (UUM), Kedah Darul Aman 06010, Malaysia)

  • Mohammed W. A. Saleh

    (Department of Accounting and Auditing, Palestine Technical University-Kadoorie, Tulkarm P.O. Box 7, Palestine)

  • Maha Rahrouh

    (Department of Business Administration, College of Business, Al Ain University, Al Ain P.O. Box 64141, United Arab Emirates)

  • Kholoud AlQeisi

    (Department of Business Administration, College of Business, Al Ain University, Al Ain P.O. Box 64141, United Arab Emirates)

  • Mujeeb Saif Mohsen Al-Absy

    (Accounting and Financial Science Department, College of Administrative and Financial Science, Gulf University, Sanad 26489, Bahrain)

Abstract

This study endeavors to explore the shock-transmission mechanism between Trade Policy Uncertainty (TPU) and the volatility inherent in the Gulf Cooperation Council (GCC) Islamic stock markets by employing the novel Quantile Vector Auto Regression (QVAR) with “Extended Joint” and “Frequency” domain connectedness technique. Overall findings indicated a U-shaped pattern in the shock-transmission mechanism with the higher TPU shocks transmitted towards Islamic stock market volatility at the extreme quantiles and in the long term. The “Extended Joint” QVAR connectedness approach highlights that, in bearish and moderate-volatility conditions ( τ = 0.05, 0.50), diversifying portfolios across less shock-prone equity markets like Qatar and UAE can mitigate risk exposure to TPU shocks. Specific economies receiving higher TPU shocks, like Bahrain, Kuwait, and Saudi Arabia, should implement strategic frameworks, including trade credit insurance and currency hedging, for risk reduction in trade policy shocks during the bearish and moderate-volatility conditions. Conversely, Qatar and Kuwait show the least transmission of error variance from TPU during higher-volatility conditions ( τ = 0.95). Moreover, the application of the Frequency-domain QVAR technique underscores the need for short-term speculators to exercise increased vigilance during bearish and bullish volatile periods, as TPU shocks can exert a more substantial influence on the Islamic equity market volatility of Bahrain, Oman, Kuwait, and Saudi Arabia. Long-term investors may need to tailor their asset-allocation strategies by increasing allocations to more stable assets that are less susceptible to TPU shocks, such as Qatar, during bearish ( τ = 0.05), moderate ( τ = 0.50), and bullish ( τ = 0.95) volatility.

Suggested Citation

  • Mosab I. Tabash & Suzan Sameer Issa & Marwan Mansour & Mohammed W. A. Saleh & Maha Rahrouh & Kholoud AlQeisi & Mujeeb Saif Mohsen Al-Absy, 2025. "Dynamic Shock-Transmission Mechanism Between U.S. Trade Policy Uncertainty and Sharia-Compliant Stock Market Volatility of GCC Economies," Risks, MDPI, vol. 13(3), pages 1-57, March.
  • Handle: RePEc:gam:jrisks:v:13:y:2025:i:3:p:56-:d:1614967
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    References listed on IDEAS

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    1. Caldara, Dario & Iacoviello, Matteo & Molligo, Patrick & Prestipino, Andrea & Raffo, Andrea, 2020. "The economic effects of trade policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 109(C), pages 38-59.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Tom Chodor, 2019. "The rise and fall and rise of the trans-pacific partnership: 21st century trade politics through a new constitutionalist lens," Review of International Political Economy, Taylor & Francis Journals, vol. 26(2), pages 232-255, March.
    4. Crowley, Meredith & Meng, Ning & Song, Huasheng, 2018. "Tariff scares: Trade policy uncertainty and foreign market entry by Chinese firms," Journal of International Economics, Elsevier, vol. 114(C), pages 96-115.
    5. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    6. Nantembelele, Fatuma Abdallah & Yilmaz, Mustafa K. & Ari, Ali, 2023. "The effects of a US-China trade war on Sub-Saharan Africa: Pro-active domestic policies make the difference," Journal of Policy Modeling, Elsevier, vol. 45(6), pages 1296-1310.
    7. Ding, Wenzhi & Levine, Ross & Lin, Chen & Xie, Wensi, 2021. "Corporate immunity to the COVID-19 pandemic," Journal of Financial Economics, Elsevier, vol. 141(2), pages 802-830.
    8. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    9. Pal, Debdatta & Mitra, Subrata K., 2016. "Asymmetric oil product pricing in India: Evidence from a multiple threshold nonlinear ARDL model," Economic Modelling, Elsevier, vol. 59(C), pages 314-328.
    10. Mohammad Enamul Hoque & Low Soo-Wah & Md Akther Uddin & Ashiqur Rahman, 2023. "International trade policy uncertainty spillover on stock market: Evidence from fragile five economies," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 32(1), pages 104-131, January.
    11. Li, Mengzhe & Lin, Qianru & Lan, Fei & Zhan, Zhimin & He, Zhongshi, 2023. "Trade policy uncertainty and financial investment: Evidence from Chinese energy firms," Energy Economics, Elsevier, vol. 117(C).
    12. Li, Dakai & Zhang, Fan & Li, Xuezhi, 2022. "Can U.S. trade policy uncertainty help in predicting stock market excess return?," Finance Research Letters, Elsevier, vol. 49(C).
    13. Hau, Liya & Zhu, Huiming & Yu, Yang & Yu, Dongwei, 2022. "Time-frequency coherence and quantile causality between trade policy uncertainty and rare earth prices: Evidence from China and the US," Resources Policy, Elsevier, vol. 75(C).
    14. Ftiti, Zied & Ben Ameur, Hachmi & Louhichi, Waël, 2021. "Does non-fundamental news related to COVID-19 matter for stock returns? Evidence from Shanghai stock market," Economic Modelling, Elsevier, vol. 99(C).
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    1. Mansour, Marwan & Al Zobi, Mo'taz & E'leimat, Dheif Allah & Abu alim, Sad & Tabash, Mosab I., 2025. "Female leadership, gender boards and environmental innovation: Comprehensive evidence from the global energy sector," Innovation and Green Development, Elsevier, vol. 4(4).

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