Analysis of Bank-Specific and Macroeconomic Factors on Non Performing Loans: A Study of commercial Banks in Bangladesh
| dc.contributor.author | Akter, Farzana | |
| dc.date.accessioned | 2026-07-06T16:53:43Z | |
| dc.date.available | 2026-07-06T16:53:43Z | |
| dc.date.issued | 26-May-2025 | |
| dc.description.abstract | The banking sector plays a vital role in Bangladesh’s economic development by mobilizing | |
| dc.description.abstract | savings and financially productive investments. However, the persistent rise in Non- Non | |
| dc.description.abstract | Performing Loans (NPLs) poses a serious threat to the stability, profitability, and efficiency of | |
| dc.description.abstract | commercial banks. Despite numerous policy interventions by the Bangladesh Bank, NPL ratios | |
| dc.description.abstract | in Bangladesh remain the highest in South Asia, indicating structural weakness in the banking | |
| dc.description.abstract | system. The main objective of the study is to empirically investigate the impact of both bank | |
| dc.description.abstract | specific and macroeconomic factors on the level of NPLs in 15 commercial banks listed in the | |
| dc.description.abstract | Bangladesh Bank over the 10 period 20214-2023. Key bank specific variables include Return | |
| dc.description.abstract | on Assets (ROA), Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR), Bank Size | |
| dc.description.abstract | and Cost to Income Ratio (CIR), while macroeconomic indicators encompass GDP growth | |
| dc.description.abstract | rate, Inflation Rate (IFR), and Interest rate Spread (IRS). The study uses secondary data | |
| dc.description.abstract | collected from annual reports, regulatory publications, and financial databases. A panel data | |
| dc.description.abstract | regression approach is employed, and based on the Hausman test, both Fixed Effects and | |
| dc.description.abstract | Random Effects Models are considered. After Several diagnostic tests, such as descriptive | |
| dc.description.abstract | statistics, normality test, multicollinearity test, heteroscedasticity test, and autocorrelation test, | |
| dc.description.abstract | are conducted to ensure model robustness. The findings reveal that ROA, CAR, and LDR have | |
| dc.description.abstract | a significant negative relationship with NPLs, implying that greater profitability, stronger | |
| dc.description.abstract | capitalization, and efficient loan utilization reduce credit risk. Conversely, bank size and CIR | |
| dc.description.abstract | exhibit a positive association with NPLs, suggesting that larger banks and those with higher | |
| dc.description.abstract | operational costs may face greater loan defaults. Among macroeconomic variables, GDP | |
| dc.description.abstract | growth and interest rate spread show a weak positive influence on NPLs, while inflation and | |
| dc.description.abstract | exchange rates appear insignificant. The study recommends enhancing bank profitability, | |
| dc.description.abstract | maintaining strong capital buffers, improving cost efficiency, and adopting counter-cyclical | |
| dc.description.abstract | lending practices. Regulatory authorities are urged to strengthen oversight, promote sound | |
| dc.description.abstract | governance, and tailor monetary policies to support credit risk mitigation. These insights are | |
| dc.description.abstract | crucial for developing resilient banking practices and ensuring long-term financial stability in | |
| dc.description.abstract | Bangladesh | |
| dc.identifier.other | http://ar.cou.ac.bd:8080/jspui/handle/123456789/236 | |
| dc.identifier.uri | http://ar.cou.ac.bd:8080/xmlui/handle/123456789/236 | |
| dc.publisher | Comilla University | |
| dc.source | Comilla University Academic Repository | |
| dc.subject | Analyze the provided text to identify the central topic, which is the empirical investigation of factors influencing Non-Performing Loans (NPLs). | |
| dc.subject | Extract key financial and economic concepts, including NPLs, bank-specific variables (ROA, CAR, LDR, Bank Size, CIR), and macroeconomic variables (GDP growth, Inflation Rate, Interest rate Spread). | |
| dc.subject | Identify the specific geographical context (Bangladesh) and the type of institutions studied (commercial banks) | |
| dc.subject | Research Library of Congress Subject Headings (LCSH) for "Nonperforming loans" and related terms like "Credit risk. | |
| dc.subject | Find LCSH for "Commercial banks" and apply the geographical subdivision "--Bangladesh." | |
| dc.subject | Identify LCSH for the influencing factors, such as "Bank management," "Financial ratios," and "Macroeconomics" or "Economic conditions. | |
| dc.subject | Consider LCSH that reflect the study's focus on the relationship between these factors and NPLs, and the use of econometric models. | |
| dc.title | Analysis of Bank-Specific and Macroeconomic Factors on Non Performing Loans: A Study of commercial Banks in Bangladesh |
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