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INDEXED PUBLICATIONS2
CROSSREF CITATIONS3
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS1.5

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

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2 publications

JOURNAL ARTICLE

Exploring the Drivers of Bank Risk in State-Owned Commercial Banks

Probir Kumar Bhowmik · Niluthpaul Sarker · Md. Jamil Sharif

International Journal of Finance & Banking Studies · 2024

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This paper investigates the factors that form bank risks in Bangladeshi state-owned banks. As a representation of bank risk, non-performing loans have been considered the dependent variable for this study. The relevant data have been extracted from six state-owned banks in Bangladesh from 2013 to 2022. The final dataset consists of 60 firm-year observations. The ordinary least square (OLS) regression with robust standard errors model is utilized to find the relationship of bank risks with determinants like asset size, efficiency, liquidity, profitability, leverage ratio, capital adequacy ratio, and loan to asset ratio. The findings say that bank size and loan-to-asset ratio have a highly significant positive relationship with bank risk, whereas profitability, capital adequacy ratio, and bank efficiency have a significant negative association with bank risk. On the other hand, leverage and liquidity are negatively and positively correlated with no statistical significance. To check the study's robustness, another proxy of bank risk, loan loss provision has been used and the results are almost similar. State-owned banks operate in every economy with a different mindset than the general commercial banks. Hence, policymakers should take necessary initiatives based on this study to bring down the high bank risks in state-owned banks in Bangladesh.

DOI 10.20525/ijfbs.v13i4.37530 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Non-performing loans (NPLs) and non-performance: evidence from South Asian banks

Probir Kumar Bhowmik · Niluthpaul Sarker

International Journal of Research in Business and Social Science · 2024

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This paper examines the consequences of banks’ performance on bank risk. The paper forms a theoretical model and delivers empirical evidence to identify that banks suffer in performance as the loans become bad. Using panel data from a sample of five (05) South-Asian emerging economies from 2011 to 2019, we have found that the banks are highly influenced by the development of non-performing loans (NPLs). We have primarily used Return on Asset (ROA) followed by Return on Equity (ROE) as a substitution to the performance of the banks and NPL as the proxy of bank risk. Simultaneous regression applying 3sls finds that Non-Performing Loan (NPL) hinders banks' growth, negatively affecting their profitability.

DOI 10.20525/ijrbs.v13i2.32353 Crossref citations5 OpenAlex citations