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Keywords: Quantile regression
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Journal Articles
Journal Articles
International Journal of Islamic and Middle Eastern Finance and Management 1–22.
Published: 28 April 2026
... risk and a search for “climatic safety,” a mechanism that can operate domestically through deposit inflows to perceived safe-haven banks. Climate risk Bank liquidity creation Threshold effects Quantile regression MENA region C21 C24 The increasing frequency and severity...
Journal Articles
International Journal of Islamic and Middle Eastern Finance and Management (2025) 18 (6): 1291–1314.
Published: 08 April 2025
... uncertainty (CPU) in predicting financial market fluctuation [Dow Jones Asia (ASIA), Dow Jones Islamic (ISLAMIC) and NASDAQ OMX Clean Energy Asia (CLEAN)] for the period from 2018 to 2024. Design/methodology/approach This paper uses three innovative techniques, including wavelet quantile regression...
Journal Articles
International Journal of Islamic and Middle Eastern Finance and Management (2023) 16 (1): 210–225.
Published: 16 January 2023
... The paper uses a sample of 120 nonfinancial companies listed on the Tadawul stock exchange during the period 2017–2020. Data is obtained from the companies’ financial reports. This study uses the system GMM and the quantile regression. The first methodology examines the effect of leverage decisions on firm...
Journal Articles
International Journal of Islamic and Middle Eastern Finance and Management (2021) 14 (3): 482–505.
Published: 18 December 2020
... and fragility periods have shaped the degree and structure of this sensitivity. Design/methodology/approach Quantile regression incorporating structural changes and GARCH-class model are used to establish how sensitivities are varying across volatility distribution depending on global events. The data...
Journal Articles
Journal Articles
International Journal of Islamic and Middle Eastern Finance and Management (2018) 11 (2): 182–193.
Published: 24 January 2018
... and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative...
Journal Articles

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