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The antecedents of credit risk in Ghana’s banking sector a robust least squares estimation approach

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dc.contributor.author Asem, P.E.
dc.date.accessioned 2024-07-18T11:35:21Z
dc.date.available 2024-07-18T11:35:21Z
dc.date.issued 2023-11
dc.identifier.uri http://41.74.91.244:8080/handle/123456789/3842
dc.description A Dissertation in the Department of Accounting, School of Business, submitted to the School of Graduate Studies, in partial fulfillment of the requirements for award of the degree of Master of Business Administration (Accounting) in the University of Education, Winneba en_US
dc.description.abstract The purpose of this study is to investigate the antecedents of credit risk in Ghana’s banking sector within the context of policy rate, inflation rate, exchange rate, and cost efficiency. The study relied on 10-year secondary data from 18 Ghanaian-resident universal banks spanning from 2012 to 2021. The study adopted an explanatory research design and quantitative approach together with a panel robust least squares estimation technique. The results indicated that policy rate and cost efficiency have negative and significant impacts on credit risk whereas exchange rate and inflation positively predict credit risk. The study concludes that directing policy interventions towards policy rate, exchange rate, inflation and cost efficiency is the surest way of curbing credit risk in Ghana’s banking sector. It was therefore recommended to the Bank of Ghana to ensure an optimum policy rate that will protect the banking sector, control inflation and promote business activities in the country. Additionally, radical industrialization programmes should be embarked on to reduce the massive importation so as to curb the debilitating currency depreciation. Finally, banks should also ensure stringent internal control measures to enhance operational efficiency. en_US
dc.language.iso en en_US
dc.publisher University of Education, Winneba. en_US
dc.subject Antecedents of credit en_US
dc.subject Credit risk en_US
dc.subject Banking sector en_US
dc.subject Least squares estimation approach en_US
dc.title The antecedents of credit risk in Ghana’s banking sector a robust least squares estimation approach en_US
dc.type Article en_US


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