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<title>Analysis of Bank-Specific and Macroeconomic Factors on Non Performing Loans: A Study of commercial Banks in Bangladesh</title>
<link>http://ar.cou.ac.bd:8080/xmlui/handle/123456789/235</link>
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<dc:date>2026-05-28T19:12:19Z</dc:date>
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<title>Analysis of Bank-Specific and Macroeconomic Factors on Non Performing Loans: A Study of commercial Banks in Bangladesh</title>
<link>http://ar.cou.ac.bd:8080/xmlui/handle/123456789/236</link>
<description>Analysis of Bank-Specific and Macroeconomic Factors on Non Performing Loans: A Study of commercial Banks in Bangladesh
Akter, Farzana
The banking sector plays a vital role in Bangladesh’s economic development by mobilizing &#13;
savings and financially productive investments. However, the persistent rise in Non- Non&#13;
Performing Loans (NPLs) poses a serious threat to the stability, profitability, and efficiency of &#13;
commercial banks. Despite numerous policy interventions by the Bangladesh Bank, NPL ratios &#13;
in Bangladesh remain the highest in South Asia, indicating structural weakness in the banking &#13;
system. The main objective of the study is to empirically investigate the impact of both bank&#13;
specific and macroeconomic factors on the level of NPLs in 15 commercial banks listed in the &#13;
Bangladesh Bank over the 10 period 20214-2023. Key bank specific variables include Return &#13;
on Assets (ROA), Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR), Bank Size &#13;
and Cost to Income Ratio (CIR), while macroeconomic indicators encompass GDP growth &#13;
rate, Inflation Rate (IFR), and Interest rate Spread (IRS).  The study uses secondary data &#13;
collected from annual reports, regulatory publications, and financial databases. A panel data &#13;
regression approach is employed, and based on the Hausman test, both Fixed Effects and &#13;
Random Effects Models are considered. After Several diagnostic tests, such as descriptive &#13;
statistics, normality test, multicollinearity test, heteroscedasticity test, and autocorrelation test, &#13;
are conducted to ensure model robustness. The findings reveal that ROA, CAR, and LDR have &#13;
a significant negative relationship with NPLs, implying that greater profitability, stronger &#13;
capitalization, and efficient loan utilization reduce credit risk. Conversely, bank size and CIR &#13;
exhibit a positive association with NPLs, suggesting that larger banks and those with higher &#13;
operational costs may face greater loan defaults. Among macroeconomic variables, GDP &#13;
growth and interest rate spread show a weak positive influence on NPLs, while inflation and &#13;
exchange rates appear insignificant. The study recommends enhancing bank profitability, &#13;
maintaining strong capital buffers, improving cost efficiency, and adopting counter-cyclical &#13;
lending practices. Regulatory authorities are urged to strengthen oversight, promote sound &#13;
governance, and tailor monetary policies to support credit risk mitigation. These insights are &#13;
crucial for developing resilient banking practices and ensuring long-term financial stability in &#13;
Bangladesh
</description>
<dc:date>2025-05-26T00:00:00Z</dc:date>
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