{"title":"The Impact of Credit Risk and Bank-Specific Drivers on Banks’ Performance: Evidence from the UAE Region","authors":"Zawadi Ally","doi":"10.24297/ijmit.v17i.9264","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic has induced a series of credit risk problems for most commercial banks in the GCC region. Thus, the current paper aims to examine the impact of both credit risk and bank-specific drivers on commercial banks’ financial performance in the UAE from the period 2017 - 2021. The study used NPLs, LLP, and DR as credit risk indicators while CER, LR, and NPLs were used as bank-specific drivers and ROA as financial performance measures. The Random Effect model was used for data analysis. The findings revealed that NPLs and LLP had a negative and significant effect on ROA while CER, LR, and, NPLs were found to have a negative and significant relationship with ROA. This paper implies that banks need remain prudent in their credit risk management and adopt the best strategies to manage and control bank-specific drivers to improve their performance","PeriodicalId":202446,"journal":{"name":"INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24297/ijmit.v17i.9264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The COVID-19 pandemic has induced a series of credit risk problems for most commercial banks in the GCC region. Thus, the current paper aims to examine the impact of both credit risk and bank-specific drivers on commercial banks’ financial performance in the UAE from the period 2017 - 2021. The study used NPLs, LLP, and DR as credit risk indicators while CER, LR, and NPLs were used as bank-specific drivers and ROA as financial performance measures. The Random Effect model was used for data analysis. The findings revealed that NPLs and LLP had a negative and significant effect on ROA while CER, LR, and, NPLs were found to have a negative and significant relationship with ROA. This paper implies that banks need remain prudent in their credit risk management and adopt the best strategies to manage and control bank-specific drivers to improve their performance