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The banking sector is a linchpin of economic growth and development, with its prosperity heavily influenced by various factors of the economy. The cooperative model of banking to achieve both of personal and community development goals has been chosen as an instrument for fostering high and stable financial growth. As a key metric for assessing the financial health and profitability of banks, including cooperative banks, NPAs plays a crucial role in evaluating their stability and resilience. Notably the Indian Banking system, now, compares with the global benchmarks, reflecting commendable Return on Assets (ROA), Return on Equity (ROE) and Credit risk (NPAs). The purpose of this article is an attempt to analyze the trends of NPAs (Gross NPAs and Net NPAs) of selected Urban Cooperative Banks (UCBs) and assessing the profitability using ROA and ROE over the period of 2016-2022 by employing the linear trend analysis and multiple regression model. Secondary sources provided the information gathered for the study. The study indicates that the trend of NPAs is fluctuating over time with low minimal correlation. GNPAs and NNPAs have a significant impact on ROA for the selected UCBs- Nagarik Samabay Bank (NSB) and Gauhati Cooperative Urban Bank (GCUB). However, during the period 2020-2022, GNPA sand NNPAs did not exhibit significant influence on ROE for Gauhati Cooperative Urban Bank. Hence, the dynamism of NPA and their impact on profitability on banking sector will reflect the growth of financial sector of the economy.

The research was conducted to see how cost of funds (COC), and non-performing loans (NPL) on profitability is measured by return on assets (ROA). The research method used is descriptive and verification methods. Secondary data is sourced from Regional Development Banks of West Java and Banten Provinces in Indonesia quarterly financial reports for 2014 – 2022, while the data analysis technique uses multiple linear regression analysis. The results of the research are that COF and NPL has a negative and significant effect on ROA. Simultaneously, COF and NPL have a significant effect on ROA. The results of this research are useful for bank management in determining funding strategies with low cost of funds, and credit management strategies so that non-performing remains healthy. 

This study examines the correlation between industry-specific loan disbursement and profitability in the banking sector of Bangladesh, with a particular focus on the influence of targeted lending on profitability. The study examines the impact of different variables such as total assets, total revenue, non-performing loans, and sector-specific loans (agricultural, transportation, construction, textile, pharmaceuticals, and food procurement), on profit after tax (PAT) by analyzing data from 41 commercial banks between 2009 and 2022. By employing various techniques such as Pooled Ordinary Least Squares (POLS), Two-Stage Least Squares (2SLS), and the Generalized Method of Moments (GMM), we have determined that total assets have a noteworthy adverse effect on PAT in both POLS and 2SLS models. Conversely, construction loans have a positive influence on PAT in these models. The total revenue consistently has a favorable effect on the profit after tax (PAT) in all models. In the GMM model, transportation loans and textile loans have a notable adverse effect on PAT, but pharmaceutical loans have a slight favorable effect. The presence of non-performing loans, total loans, agricultural loans, and food procurement loans does not have a substantial impact on the profitability after tax (PAT) in any of the models. So overall total revenue, construction loan and pharmaceutical loan have a positive impact on PAT and total assets, transportation loan and textile loan have a negative impact on PAT. This study emphasizes the significance of strategic lending in underdeveloped industries and provides practical implications for banking professionals and regulators to identify high-risk lending sectors and devise measures to improve long-term profitability. 

This paper aims to examine the financial performance of Bangladeshi listed commercial banks. The study analyzed the financial performances of banks categorized into three generations—first, second, and third—based on their year of commencement of operations in the country. The data of a total of 24 banks, 8 from each generation, listed in the Dhaka Stock Exchange (DSE), has been collected from audited financial statements for the time period of 13 years, from 2010 to 2022. Data has been analyzed using different ratios of profitability, liquidity, capital adequacy, operational efficiency, and credit risk. The ANOVA test also has been used to make a comparison of profitability—the return on assets (ROA), and return on equity (ROE) of the banks of different generations. According to the results, the average profitability ratios in terms of ROA, and ROE of the second-generation banks showed their credibility than banks of other generations; while first generation banks kept higher liquidity, and capital adequacy with higher credit risk than the banks of other generations. The first-generation banks also showed a lower cost-expense ratio, and a higher efficiency in terms of operation, than the banks in the second and third generations. The research also discovered that the profitability of banks of different generations significantly varies from one another.  

This exploration aims to test and dissect factors that impact bank fiscal performance and their impact on shareholder tips. The variables used are E-Banking, credit handed as an independent variable, and ROE as a dependent variable. This exploration also looks at the influence of ROE on shareholder tips proxied by the DPR. This exploration was conducted in all BPDs in Sumatra, there are 8 BPDs registered with the OJK during the 2019 – 2022 period. The exploration system used was descriptive exploration with a quantitative exploration approach. Data recycling analysis uses multiple and simple retrogression analyses. The exploration results show that E-Banking and the credit handed have a significant influence on ROE, both concertedly and collectively. Meanwhile, fiscal performance (ROE) also influences shareholder tips (DPR).

This study aims to investigate the association between non-performing loans (NPLs) and the profitability of banks in Bangladesh. The data of twenty-five listed banks for the twelve years spanning from 2010 to 2021 have been analyzed to achieve the research objective. through the use of the ordinary least square (OLS) regression model, we found that the NPL has a negative significant impact on the profitability determined by the return on asset (ROA). In addition, the study revealed that the bank size, which is represented by banks’ total assets, is also inversely related to the profitability of the sample banks used in this research. The study concludes that the stakeholders, particularly the management of the banks, as well as the regulators, should be more cautious about NPLs and should try to lessen the level of NPLs because it can bring devastating results both on the microeconomic as well as on macroeconomic metrics of a developing country like Bangladesh.  

The outbreak of the Coronavirus, which has caused a global crisis, has affected all aspects of human life. This pandemic has also seriously challenged the business environment, monetary and financial markets, and the performance of banks in countries. Accordingly, this paper aims to answer the question: “What is the impact of the COVID 19 pandemic crisis on the performance of the Canadian banking industry? Thus, the main purpose of the study is to investigate the impact of the Covid-19 pandemic on the performance of the Canadian banking industry. For this purpose, the related literature was systematically reviewed to extract performance indicators. Then, a quantitative approach and a multiple case study strategy were used to examine the hypotheses and answer the questions. So, three Canadian banks including RBC bank, TD bank, and BMO were selected as cases. Document- and records-based method used to collect public data from official, and well-known economic and financial sources. For data analysis, structural equation analysis and correlation test were considered using Amos 28 and APSS 27. Based on the results, although the Covid-19 pandemic has shocked the Canadian banking industry, like many businesses, but because of its high capabilities, they have been able to manage the crisis well and come out of it successfully. The results show that the average profitability and efficiency of Canadian banks decreased slightly during the pandemic period, but it was not significant. In addition, during this period, business risk has increased slightly, but this situation has gradually returned to normal. Plus, some indicators such as the average of ROE, ROI, EPS, etc. after passing the initial shock, they have found a better position than the pre-crisis. Considering the newness of the pandemic and the lack of similar knowledge and experience that has surprised people, the results of this research contribute to the theoretical development of the literature, and its results can be used in the financial, banking, and commercial fields. Since the basis of the investigations was limited to the data of only three banks, therefore, it should be a little cautious in generalizing the results.

This study investigates the impact of some variables such as total revenue, total assets, total liabilities, total deposits, total unclassified loans, total classified loans, standard loans, special mention account loans, sub-standard loans, doubtful loans, and bad and loss loans on profit before tax. Unbalanced Panel Data were collected from the website of 45Commercial Bank of Bangladesh from the year 2010 to 2018. Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least square (2SLS), Generalized Methods of Moments (GMM) methods are used in this study. This research found that total revenue had a significant positive relationship with profit before tax in all the models except DK and GMM models. Total unclassified loans had a significant positive relationship and total liabilities had a significant negative relationship with profit before tax in all the models. Special mention account loans had a significant positive relationship with profit before tax in OLS and DK models and total classified loans had a significant positive relationship with profit before tax in GMM model.

The purpose of this research paper is to extensively investigate and examine the effect of the CAMEL model variables on the profitability and financial soundness of the thirteen Jordanian commercial banks for the period of 2013 to 2019, the primary data were collected from the published audited financial reports of the Jordanian commercial banks. The study uses CAMEL model variables of Capital adequacy, Asset Quality, Management efficiency, Earnings ability, and Liquidity management to rank banks as per their overall performance and measuring their effect on banks’ profitability measures of Return on Assets and Return on Equity separately through applying the fixed effect regression model. It is concluded that the ranking approach shows that Bank of Jordan was in the top position followed by the Capital Bank of Jordan. Jordan Ahli Bank was in the lowest rank in most positions. Furthermore, the empirical results indicates that Non-Interest Income to Total Assets and Net Interest Income to Total Loans and Advances have significant positive relationships with both profitability measures whereas cost to Total Income and Non-Interest Income to Total Assets have strong negative relationships with the profitability measures. In addition, Equity to Total Assets has strong negative relationship with ROE. The study suggests that Jordanian commercial banks can improve their profitability through the concentration on main activities, efficiently managing their capital adequacy, maintaining high quality level of lending policy, and utilization of full assets. Additionally, the current study recommends conducting more studies on banks’ performance determinants with an expanded scope and using more financial models besides the CAMEL model.

Increase in losses borne by banks as a result of inadequate operational risk management practices and the adverse impact on banks’ financial performance has been a major concern to bank management and regulators. This study analysed the impact of operational risk management practices on the financial performance of commercial banks in Nigeria. 10-years (2008 - 2017) secondary data extracted from audited financial statements of selected commercial banks in Nigeria was used for the study. The data was analysed using the Linear Multiple Regression Model. The results showed that there is a positive relationship between operational risk management and the financial performance of banks. The findings revealed that sound operational risk management practices impact positively on the financial performance of banks. We, therefore, recommend that banks’ management should deploy adequate resources towards understanding operational risk to ensure sound operational risk management and improved financial performance of banks.

The demonetisation footstep by the Government of India twisted complicated influences in the economy. Complete sectors of the economy had faced and produced mixed sensation results over the decision of demonetisation. India’s financial services struggled with demonetisation; on the other hand demonetisation affects utmost over the banking sector because it is substantial influenced services to transform money circulation in an Indian economy. Eradicating components of currency notes from circulation in an economy is demonetisation. It is as the processes of components of money are denied the status of legal tender. Consequently, ceased currency notes will not be account as valid currency in an economy. The term ‘demonetization’ is an instrument to shrink Inflation, Black Money, Corruption and terror funding, this step discourages a cash dependent economy in India. Government of India drive towards demonetisation has given a strong push to the popularity of digital banking and made helps with the alternative arrangements of e-banking and e –wallet to trade and commerce. Exploring the demonetisation emergence in an economy and impact on banking services ecosystem dynamics, this study take an abductive approach anchored in over 4 years of case study data regarding. The present study foremost intention is to be analysing the demonetisation impact over banking loans and advances. In this regard the present study is to be examining the pre demonetisation and post demonetisation period.

<p><em>This study focused on the factors influencing the use of agency banking by the residents of Makueni Sub-County, Kenya. The researcher was guided by four objectives; firstly, to determine the influence of agent characteristics on the use of agency banking by the residents of Makueni Sub-County, secondly, to determine the influence of the banking products offered by bank agents on the use of agency banking by the residents of Makueni Sub-County, thirdly, t</em><em>o establish the influence of agents’ operating hours on the use of agency banking by the residents of Makueni Sub-County and fourthly, to determine the influence of the banks’ location on the use of agency banking by the residents of Makueni Sub-County. </em><em> The study used descriptive survey design and the target population was 276 bank customers in Makueni Sub-County. The respondents were selected using stratified and convenience sampling. Data was collected 255 respondents using questionnaires. Data analysis was done using both descriptive and inferential statistics with the help of statistical package for social scientists (SPSS). Qualitative data was analyzed thematically according to the study objectives. The findings of the study revealed that there was a strong positive correlation and a significant relationship between the agency characteristics and use of agency banking, agency banking products and use of agency banking, operating hours and use of agency banking and location of mainstream bank and the use of agency banking. The multiple regression analysis results showed that the banking products had a significant prediction of the use of agency banking by the residents of Makueni Sub-County. This study recommends that diversification of the products and services provided by the banking agencies in the study area as well as further research in the area to find out other factors influencing the use of agency banking.</em></p>

<div><p>The reform agenda in the financial as well as banking sector in the Indian economy was not only in the target of achieving profitable banking business but also to reduce the magnitude of banking funds locked in the bad debt account so that, among others, the real delivery of credit (the credit-deposit ratio) rises in overall fronts. The Narasimham Committee Report in respect of reducing magnitude of non- performing assets has been framed in line with the Basel Norm regarding the asset quality of the banks where capital adequacy ratio has been fixed for different banks to achieve within different time periods. The present study, under such a back ground, has been structured to examine the profile of all Scheduled Commercial Banks in all ranges of CRAR over time in aggregate and bank group specific and to measure degree of correlation of NPA-Deposit ratio with CRAR trends and Credit-Deposit Ratio in all ranges of CRAR and their significance levels for the time period 1995-96 to 2009-2010. It has been observed that there has been variation across banks in following the guidelines of the reform committee. SBI group and foreign banks have been performing well in this respect. There has been rising trend of the proportions of banks in the above 10 per cent range of CRAR. The NPA/D ratio and C-D ratio have been observed to be positively and negatively correlated respectively for the first three ranges of CRAR and reverse in the above 10 per cent range. The correlation between the NPA/D ratio and C-D ratio is negative and significant.</p></div>

<p>The problem of NPA is not limited to only Indian public sector banks, but it prevails in the entire banking industry.  Major portion of bad debts in Indian Banks arose out of lending to the priority sector at the dictates of politicians and bureaucrats.  If only banks had monitored their loans effectively, the bad debt problem could have been contained if not eliminated. The present study has been designed to illustrate the necessity and the nature of the non-performing assets in Indian Bank, Tamil Nadu. Finding out Non Performing Assets –NPA- under the Priority sector lending in Indian Bank and Compare with Public Sector Banks and making appropriate suggestions to avoid future NPAs and to manage existing NPAs in Indian Bank are the other major objectives of this study. The scope of this study covers on the basis: (i)  measuring for the banks to avoid future NPAs & to reduce existing NPAs, (ii) guiding for the government in creating & implementing new strategies to control NPAs, (iii) selecting appropriate techniques suited to manage the NPAs and develop a time bound action plan to arrest the growth of NPAs.</p>

A well-functioning financial institution will sustain a countries economic development and play a great role in reduction of poverty. One of the major participants in the financial institution is the banking industry.  However, the mal-functioning of the banking system can be extremely costly to the real economy. As Bank is one of the participants and major key player in the financial institutions, it needs a continuous assessment by its supervisory and management. Mere ratio analyses are commonly used Performance measurement among the banking industry in Ethiopia. Nonetheless, these financial ratios are more of traditional as well as partial measurements. As such this study conducted using CAMEL framework set by bank for international settlement. The study takes secondary data which are gathered from audited annual reports of all banks. The result shows CAMEL framework is the best fit measurement for Ethiopian Banks and it give a comprehensive result which is very helpful for the governor to set a well determined policy and procedure.

The study attempts to ascertain the determinants of nonperforming loans in National Bank of Commerce. Data was collected from 152 respondents. Tables, percentages, mean and standard deviation were used to analyze data. Data collection methods adopted for the study were interview, questionnaire and documentary evidence. Interest rate, GDP, concentration of lending activities, bank’s loan supervision capacity and economic condition were investigated, and the results suggest that interest rate, GDP, bank’s loan supervision capacity and economic condition influence the level of NPLs. However, the results did not suggest that concentration of lending activities increase the level of NPLs.   The study suggests that banks should put in place a vibrant credit process that ensures proper customer selection and risk identification, robust credit analysis, proactive monitoring and clear recovery strategies for bad loans, formulate clear policy framework that addresses issues of ethical standards and check and balance credit process, organizational capacity enhancement of banks, deliberate effort to develop credit culture for managing loans ,and ensure prudent policies that govern bank loans. Since the results for this study were encouraging, the researcher encourages replicating the study for other lending institutions. In order to extend the literature on non-performing loans, the researcher suggested incorporating models of Golem effect, Social loafing, Inverted pyramid effect, Pollyanna effect and High default culture effect.  Also, basing on the merits of the study, the researcher suggests determining relationship between non-performing loans and loan size, collateral, credit culture, and credit management information system.

The reform agenda in the financial as well as banking sector in the Indian economy was not only in the target of achieving profitable banking business but also to reduce the magnitude of banking funds locked in the bad debt account so that, among others, the real delivery of credit (the credit-deposit ratio) rises in overall fronts. The Narasimham Committee Report in respect of reducing magnitude of non- performing assets has been framed in line with the Basel Norm regarding the asset quality of the banks where capital adequacy ratio has been fixed for different banks to achieve within different time periods. The present study, under such a back ground, has been structured to examine the profile of all Scheduled Commercial Banks in all ranges of CRAR over time in aggregate and bank group specific and to measure degree of correlation of NPA-Deposit ratio with CRAR trends and Credit-Deposit Ratio in all ranges of CRAR and their significance levels for the time period 1995-96 to 2009-2010. It has been observed that there has been variation across banks in following the guidelines of the reform committee. SBI group and foreign banks have been performing well in this respect. There has been rising trend of the proportions of banks in the above 10 per cent range of CRAR. The NPA/D ratio and C-D ratio have been observed to be positively and negatively correlated respectively for the first three ranges of CRAR and reverse in the above 10 per cent range. The correlation between the NPA/D ratio and C-D ratio is negative and significant.

The banks in India have over 67,000 branches located across the country. All these are classified into two major categories, nonscheduled banks and scheduled banks. Scheduled banks includes commercial banks and the co-operative banks. The public sector banks are accountable for more than 78 percent of total banking industry in India. Even though private sector banks came later into the market, due to their customer servicing and easy banking features they are also competing equally with already existing public sector banks. so it is very essential to analyze how their financial performance is influenced by number of factors which willfurther suggest them where they need to concentrate more. in this article we have analyzed the correlation between return on total assets and other financial variables of selected private and public banks in India.

The problem of NPA is not limited to only Indian public sector banks, but it prevails in the entire banking industry.  Major portion of bad debts in Indian Banks arose out of lending to the priority sector at the dictates of politicians and bureaucrats.  If only banks had monitored their loans effectively, the bad debt problem could have been contained if not eliminated. The present study has been designed to illustrate the necessity and the nature of the non-performing assets in Indian Bank, Tamil Nadu. Finding out Non Performing Assets –NPA- under the Priority sector lending in Indian Bank and Compare with Public Sector Banks and making appropriate suggestions to avoid future NPAs and to manage existing NPAs in Indian Bank are the other major objectives of this study. The scope of this study covers on the basis: (i)  measuring for the banks to avoid future NPAs & to reduce existing NPAs, (ii) guiding for the government in creating & implementing new strategies to control NPAs, (iii) selecting appropriate techniques suited to manage the NPAs and develop a time bound action plan to arrest the growth of NPAs.