The impact of Basel III implementation on the financial performance of the Banking Industry in Bangladesh

Abstract

This report examines The impact of Basel III implementation on the financial performance of the banking industry in Bangladesh. The study is conducted using panel data collected from seven commercial banks over a ten-year period from 2015 to 2024. The main objective of the study is to analyze how key financial factors, including Non-Performing Loans (NPL), Capital Adequacy Ratio (CRAR), and Bank Size, influence bank profitability, measured by Return on Assets (ROA). The study adopts a quantitative research approach and applies several econometric techniques to analyze the data. Initially, descriptive statistics and correlation analysis are used to understand the basic characteristics and relationships among the variables. Subsequently, regression analysis is conducted using Pooled Ordinary Least Squares (OLS), Fixed Effects, and Random Effects models. The Hausman test is applied to determine the most appropriate model for the analysis. In addition, diagnostic tests such as the Variance Inflation Factor (VIF), Breusch–Pagan test, and Wooldridge test are performed to ensure the validity and reliability of the results. The empirical findings of the study reveal that non-performing loans have a significant negative impact on bank profitability. This indicates that higher credit risk reduces the earning capacity of banks and highlights the importance of effective loan management practices. On the other hand, the capital adequacy ratio shows a positive relationship with profitability, suggesting that well-capitalized banks are more stable and capable of generating higher returns. However, the level of significance indicates that capital adequacy alone is not sufficient to ensure strong financial performance without proper risk management. Furthermore, bank size is found to have a negative effect on profitability, implying that larger banks may experience operational inefficiencies and higher management costs. The results of the Hausman test indicate that the Random Effects model is more appropriate for this study, suggesting that bank-specific effects are not correlated with the explanatory variables. The diagnostic tests confirm that there are no major econometric issues such as multicollinearity, heteroskedasticity, or autocorrelation, ensuring the robustness of the model.