Open AccessDeterminants of Credit Risk in the Banking Sector of Ghana: A Panel Co-integration Approach
Author(s) -
Thomas Appiah,
Frank Bisiw
Publication year - 2020
Publication title -
european journal of business and management research
Language(s) - English
Resource type - Journals
ISSN - 2507-1076
DOI - 10.24018/ejbmr.2020.5.4.377
Subject(s) - non performing loan , profitability index , market liquidity , panel data , credit risk , gross domestic product , interest rate , financial system , ordinary least squares , business , capital adequacy ratio , government (linguistics) , economics , monetary economics , finance , profit (economics) , loan , macroeconomics , econometrics , linguistics , philosophy , microeconomics
The economic development of any nation hinges on the health of its financial system. In recent years, the health of the Ghanaian Banking sector has been affected severely as a result of high levels of non-performing loans (NPLs), which has been identified as a major threat to the overall profitability and survival of banks. To minimize the impact of NPLs on the financial sector, key stakeholders such as the government, bank officials and regulators are working hard in that regard. However, any policy response aimed at dealing with the high rate of non-performing loans first requires the understanding of the underlying determinants of NPLs. Against this backdrop, this paper apply panel co-integration techniques to investigate the determinants of credit risk (NPLs) in the banking sector of Ghana. We use NPL as a proxy to measure credit risk and assess how it is influenced by macroeconomic and bank-specific factors. A balanced panel data of 16 universal banks in Ghana from 2010 to 2016 has been analyzed using Panel co-integration techniques such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our result shows that growth in the economy, measured by Gross Domestic Product (GDP) has significant influence on the NPLs of banks in the long-run. The results further revealed that capital adequacy, profitability and liquidity of banks are significant predictors of NPLs. However, our results suggest that bank size, inflation and interest rate have statistically insignificant influence on the NPLs of Ghanaian banks. The study recommend, among others, that whereas it is important for government and policymakers to work to improve macroeconomic outcomes, banks should also improve their capital adequacy, profitability, and efficiency position as these bank-specific interventions could significantly improve credit quality and minimize NPLs.