Systematic and Unsystematic Credit Risk Determinants in the Egyptian Commercial Banking Sector: An Empirical Study | ||||
| التجارة والتمويل | ||||
| Volume 45, Issue 1, March 2025, Page 75-117 PDF (1.16 MB) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/caf.2025.415963 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Ahmed Hassan Elsayed Elgayar
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| کلية التجارة (شعبة اللغة الإنجليزية) - جامعة طنطا | ||||
| Abstract | ||||
| This research investigates the factors influencing systematic and unsystematic credit risk within the Egyptian commercial banking sector through an empirical analysis. The study utilized an empirical approach, gathering secondary data spanning the years 2010 to 2022. To accomplish this, the study formulated nine hypotheses and employed an empirical random panel data regression model. The investigative results affirm the validity of the five hypotheses with theory. Three hypotheses contradict with the prevailing theory and partially agree with some literature. The rest hypothesis is rejected. Future research should explore alternative models of credit risk determinants to gain a broader perspective by including diverse time periods and banking sectors beyond commercial banks. Additionally, incorporating significant political and market events, such as the Egyptian revolutions, the 2016-pound floatation, the COVID-19 pandemic, and ongoing conflicts, could provide deeper insights into their impact on credit risk. Lastly, investigating bidirectional effects between research variables using Granger causality tests or the Toda and Yamamoto method could help elucidate the causal relationships and interactions between systematic and unsystematic factors that impact credit risk within the Egyptian commercial banking sector. | ||||
| Keywords | ||||
| Credit Risk; Systematic (Macroeconomic) Determinants; Unsystematic (Bank Specific) Determinants; Commercial Banking Sector; Random Panel Data Regression Model; Egypt | ||||
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