Credit Portfolio Dynamics and Risk Exposure: A Panel Data Analysis of Lending Institutions in Palestine

Date
2025-07-07
Authors
Ateeq Ibrahim
Bayoud Mohammad
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Volume Title
Publisher
The International Journal of Business Management and Technology
Abstract
This study examines the determinants of credit risk within Palestinian lending institutions using panel data from 2022 to 2024. Drawing on data from Qatan, Qudas, and Rief, the analysis combines fixed effects regression and structural equation modeling (SmartPLS) to assess the impact of inactive loans, credit scoring systems, macroeconomic indicators, and governance mechanisms on Portfolio at Risk (PAR). Regression results reveal that higher inactive loan ratios significantly increase PAR, while institutions adopting credit scoring report a notable reduction. SEM findings validate that internal governance explains 63% of the variance in credit risk. These results emphasize the need for enhanced institutional practices and regulatory infrastructure to sustain financial stability in fragile economic contexts
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Citation
Ateeq, I. M., & Bayoud, M. A. (2025). Credit portfolio dynamics and risk exposure: A panel data analysis of lending institutions in Palestine. The International Journal of Business Management and Technology, 9(7), 48–60.