Testing the relationship between financial distress and banks financial Performance : Lessons from the Gulf Banking Sector, 2020-2023 (Quantitaive Analysis) | ||||
| المجلة العلمية للإقتصاد و التجارة | ||||
| Volume 55, Issue 1, April 2025, Page 105-128 PDF (546.41 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jsec.2025.420838 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Asmaa Mohamed Abdullah | ||||
| الاكاديمية العربية للعلوم والتكنولوجيا والنقل البحرى | ||||
| Abstract | ||||
| This paper investigates the intricate relationship between financial distress and the performance of banks in the Gulf Cooperation Council (GCC) countries during the period from 2020 to 2023. Utilizing a comprehensive dataset comprising 56 listed banks, the study reveals significant findings that link early distress signals to declining performance indicators. The analysis highlights capital adequacy and asset quality as critical leading indicators of financial stability within the banking sector. By integrating traditional econometric techniques with advanced machine learning methodologies, the research develops a robust early warning system designed to detect potential bank distress in the GCC region. This innovative approach not only enhances the predictive capabilities regarding financial instability but also provides valuable insights for policymakers and banking regulators. Ultimately, this paper contributes to the existing literature by offering a dual-framework methodology that combines classical economic analysis with modern data-driven techniques, thereby addressing the pressing need for effective risk management strategies in the banking industry. | ||||
| Keywords | ||||
| Gulf Countries Banks; Financial Distress; Banks Financial Performance; Capital Adequacy; Asset Quality; NPL; Loan Loss Provision; Loan to Deposits ratio; ROA; ROE | ||||
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