Testing the relationship between financial distress and banks financial Performance : Lessons from the Gulf Banking Sector, 2020-2023 (Quantitaive Analysis)

نوع المستند : المقالة الأصلية

المؤلف

الاكاديمية العربية للعلوم والتكنولوجيا والنقل البحرى

المستخلص

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.

الكلمات الرئيسية

المجلة العلمية للإقتصاد و التجارة
المجلد 55، العدد 1
ابحاث فى تخصصات ادارة الاعمال - المحاسبة - الاقتصاد - الاحصاء باللعة العربیة واللغة الانجلیزیة
إبريل 2025
الصفحة 105-128

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