Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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C: FINANCEB417R
The study has investigated one of the key research questions: how do bank specific factors are related to bank performance? The model constructed is framed based on the commonly used supervisory tool to monitor bank performance: CAMEL. This consists of elements from Capital Adequacy, Asset Quality, Management, Earning and Liquidity. It has used six variables representing each of the components and run a regression model based on fixed and random models. The outcome shows that many of the bank specific factors have a significant statistical relationship with performance measures. Despite the mixed result in the various models, the study explored that bank’s capital holding, asset quality and business diversification, cost control and liquidity positions are important part of the management decisions to have a significant influence on performances.
Tesfaye Boru Lelissa. 2018. \u201cEmpirical Evidence on the Impact of Bank-Specific Factors on the Commercial Banks Performance: the CAMEL Model and Case of Ethiopian Banks\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 18 (GJMBR Volume 18 Issue C5): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 72
Country: Ethiopia
Subject: Global Journal of Management and Business Research - C: Finance
Authors: Tesfaye Boru Lelissa, Abdurezak Mohammed Kuhil (PhD/Dr. count: 0)
View Count (all-time): 163
Total Views (Real + Logic): 2998
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Publish Date: 2018 08, Mon
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Neural Networks and Rules-based Systems used to Find Rational and
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The study has investigated one of the key research questions: how do bank specific factors are related to bank performance? The model constructed is framed based on the commonly used supervisory tool to monitor bank performance: CAMEL. This consists of elements from Capital Adequacy, Asset Quality, Management, Earning and Liquidity. It has used six variables representing each of the components and run a regression model based on fixed and random models. The outcome shows that many of the bank specific factors have a significant statistical relationship with performance measures. Despite the mixed result in the various models, the study explored that bank’s capital holding, asset quality and business diversification, cost control and liquidity positions are important part of the management decisions to have a significant influence on performances.
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