dc.description.abstract | The intricate relationship between the Country Governance Index (CGI) and
credit risk within Vietnamese commercial banks, alongside an exploration of the influence
exerted by various bank-specific and macroeconomic variables, becomes an interest for
Vietnamese researchers. Drawing upon a sample comprising 20 Vietnamese commercial
banks listed on the HOSE and HNX stock exchanges spanning the years 2010 to 2022,
encompassing 160 bank-year observations, the research employs both the Fixed Effects
Model (FEM) and Random Effects Model (REM). The study's regression models
incorporate the dependent variable, namely credit risk measured by the Loan Loss Reserve
Ratio (LLRR) and Non-Performing Loan Ratio (NPLR), juxtaposed against the primary
independent variable, the Country Governance Index. Additionally, the analysis accounts
for a suite of bank characteristics (including bank size, return on assets, capital-to-asset
ratio, loan-to-deposit ratio, credit growth, and state ownership) and macroeconomic factors
(such as GDP growth rate and interbank interest rate) as control variables. The findings
unveil a statistically significant negative association between CGI and NPLR, thereby
substantiating my thesis hypothesis and suggesting that enhancements in country
governance harbor the potential to assuage non-performing loans, consequently mitigating
overall credit risks within Vietnamese commercial banks. Moreover, the analysis highlights
the significant impact of bank size and two macroeconomic variables (GDP growth rate
and interbank interest rate) on credit risk, urging policymakers, regulators, and banking
practitioners to strengthen governance frameworks to enhance financial stability and
mitigate credit risks in Vietnamese banks | en_US |