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In total, 14 credit unions have acquired 16 banks and savings institutions since 2012; 7 additional acquisitions are in progress and are expected to close before year-end 2019. The analysis of the population of these acquisitions spans the paths of annual differences in CAMEL ratios. Most acquirers have a somewhat revised capital structure and are often benefiting from economies of scope, as well as economies of scale. Since their acquisitions, the acquiring credit unions have become less risky, measured by simulated CAMEL ratios, and they are lending a larger share of their deposits. There is no apparent financial reason to discourage credit unions from acquiring additional banks and savings institutions. The National Credit Union Administration does not need to be particularly hesitant to allow credit unions to acquire banks and thrifts.

Financial analysis is done via simulated CAMEL ratios.

After acquiring banks, credit unions are less risky and lend a greater share of their deposits.

The study analyzes the population of the credit unions that have acquired banks since 2012, but the population consists of 14 banks acquiring 16 credit unions.

Credit unions should not be prohibited from further acquisitions of banks and thrifts.

Credit union members are better served after a credit union acquires a bank.

No previous study has explored the effects of credit unions acquiring banks and thrifts, which began in 2012.

This paper investigates the financial strength of banks in Bangladesh and factors affecting the financial strength over the years 2010–2015 on 35 banks.

Additive value function with CAMEL rating (capital stength, asset quality, managerial efficiency, earning ability, liquidity) has been employed to calculate banks’ financial strength index (FSI). In the second stage, panel regression has been exercised to find out the determinants of banks’ financial strength.

Empirical finding exhibits that the Islamic banks of Bangladesh are financially stronger and outperform conventional and Islamic window banks with higher liquidity. In the ownership category, private banks have more financial strength with higher capital strength, asset quality, managerial efficiency and earning ability than public banks. Bank size, loan recovery, salary and banking sector development positively affect whereas the loan-asset negatively affect the bank’s financial strength in Bangladesh.

This study has its limitations despite its importance. CAMELS is a more improved form than using CAMEL. But because of the data deficiency on “S” which represents sensitivity, it would not be possible to use CAMELS framework. Further researchers could incorporate this.

Government and banks should allow Islamic banks to enter the market on easy terms because of their outstanding performance in the existing market. In addition, banks should provide loans with consideration so that they cannot create credit risk. In addition, they should calculate composite financial strength annually to understand which components they need to work on.

This study extends the extant result on the composite FSI. It is hard to examine the financial strength of banks using only ratio value, which misleads most of the time. The study offers evidence on how the FSI provides more rigorous results and what are the factors contribute most to the financial strength of banks.

The purpose of this paper is to attempt to compare the performance of Islamic banks against conventional banks in Turkey. This comparison is much more distinctive and significant in Turkey when compared to other countries, as Turkey stands as a model for the world in interest-free banking system.

The comparative performance analysis was conducted by means of logistic regression method during the period of 2001-2009. The CAMELS approach is utilized to assess the managerial and financial performance of banks.

The results signify that Islamic banks operating in Turkey perform better in profitability and asset management ratios compared to conventional banks but lag in sensitivity to market risk criterion. These findings might mainly be ascribed to the fact that these banks allow lower provisional losses compared to conventional banks and have some tax advantages.

Utilizing a more recent and consistent data set, the analyses could be replicated to determine if the results are subject to any sample bias.

These finding reveal significant implications for potential entrants into Turkish banking sector particularly for foreign investors.

The findings from this study may reinforce the awareness and confidence in participating banks in Turkey.

Turkey is particularly interesting to conduct this analysis because Turkey is a Muslim but secular country and both Islamic and conventional banks are subject to same set of banking regulations which are based on Western traditional banking system. Furthermore, to the knowledge, there is not a comprehensive study that compares the performance of conventional and Islamic banks in a Western banking system.

This paper aims to explore and model the factors of management quality dimension (FMQD) in evaluating banking performance.

The FMQD in evaluating banking performance are explored through the review of literature. The identified factors are modeled using integrated fuzzy cognitive map (FCM) and Matrices’ Impacts Croise’s Multiplication Appliquée a UN Classement (MICMAC) approach. Scenario analysis is carried out on the proposed model to study the behavior in a dynamic setting.

The main finding of this study is the prioritization of FMQD in evaluating banking performance. The cohesive model obtained by FCM-MICMAC integrated approach demonstrates that the interlinked factors can be grouped into independent, autonomous, dependent and relay clusters. The results suggest that internal control system is the most influential factor, whereas the business per employee is the most sensitive one in modeling management quality.

This study models the FMQD through expert opinions, and hence, individual bias may influence the results. This study can be further validated through statistical analysis.

The study suggests that practitioners may focus more on these select factors and their mutual interactions to enhance management quality for improving the performance of the banks. The study emphasizes that better clarity and efficient designing of internal processes are the key to management soundness.

This is the first study to explore and model FMQD in banking performance using FCM-MICMAC approach. Validation of the proposed model in a dynamic setting is also relatively new in the banking performance literature.

Lebanon has faced one of the most severe financial and economic crises since the end of 2019. The practices of the Lebanese banks are blamed for dangerously exposing economic agents and precipitating the current financial collapse. This paper examines the patterns of manipulation of the 10 biggest banks before and after implementing the financial engineering mechanism.

The authors apply Benford law for the first and second positions of the reports of condition and income and four out of the six aspects of the CAMELS rating system (Capital Adequacy, Assets Quality, Management expertise, Earnings Strength, Liquidity and Sensitivity to the market) by excluding Management and Sensitivity. The deviations from BL frequencies are tested using Z-statistic and Chi-square tests.

Banks seem to have manipulated their Capital Adequacy, Liquidity and Assets Quality in the pre-financial engineering and considerably in the post-financial engineering periods. Fraudulent manipulations in the banking sector can distort depositors, shareholders and regulating authorities.

This study has many implications for governmental authorities, commercial banks, depositors, businesses, accounting and auditing firms, and policymakers. The Lebanese government needs to implement corrective fiscal and monetary policies and apply amendments to the bank secrecy and capital control law. The central bank should revamp its organizational structure, improve its disclosure practices and significantly reduce its ties to the government and the political elite.

The study findings suggest that the central bank should revamp its organizational structure, improve its disclosure practices and significantly reduce its ties to the government and the political elite.

The study is the first to examine the patterns of fraudulent manipulation in the Lebanese banking industry using Benford Law (BL).

The purpose of this study is to identify the effectiveness of risk management and corporate governance (CG) practices followed in Islamic banks (IBs) of Gulf Cooperation Council (GCC) countries. Hence, they are considered as critical performance indicators for financial institutions and IBs. Though the IBs are growing, there are still challenges associated with their operations because of Shariah noncompliance risks, governance, capital adequacy ratio and other risks.

This study uses a mixed-method approach, gathering qualitative data from senior risk managers of chosen IBs via semi-structured interviews and quantitative data from selected IBs financial reports using capital IQ resources. The information was gathered for a considerable time (2013–2019), and the CAMELS rating system was used to analyze it.

The results showed that GCC IBs manage their business risks well through effective CG except in certain areas like asset quality management and liquidity.

The result of this study can provide support to the banks’ top management, chief executives, regulators and government, in all practices related to risk assessment, management and mitigation.

This study contributes to the existing knowledge in risk management and CG practices. Furthermore, this study is a new attempt in knowing the risk management and CG practices followed in IBs in GCC countries using the mixed-method approach.

The purpose of this paper is to assess whether Islamic banks are transparent regarding profit (and loss) sharing to investment account holders. Another objective is to appraise whether Islamic banks' performance affects management incentives to distribute profit (and loss) to investment account holders.

To investigate the research issue, the authors conducted an empirical study. Data of 25 global operating Islamic banks have been collected and analyzed for the period 2006-2010. The authors also developed a mathematical model based on the generalized least-squares principle.

The research results showed that enhancing transparency will prevent Islamic banks from shadowing their profit allocation practices and place investment account holders in a better position to manage their invested funds. The study also showed that bettering Islamic banks’performance will induce them to manager profit-sharing investment account holders’ funds under bonafides.

The main limitation is data availability. The maximum number of Islamic banks that disclose financial data covering the period of 2006-2010 limited the scope of the study to 25 banks.

The findings are very valuable for designing policies and standards as well as for the enforcement of these standards to improve transparency in Islamic banking.

The study outcome is vital to many parties involved in the Islamic banking field and can be taken as a strong foundation to make appropriate actions that would help grow and sustain Islamic banking development globally.

This study aims to investigate differences between Islamic and conventional banks in Pakistan with respect to their operational efficiency, liquidity risk and asset quality. Importantly, in addition to full-fledged Islamic and conventional banks, this study also investigates a more recently emerged breed of hybrid banks, i.e. Islamic divisions of conventional banks.

Data for the period 2011–2020 was collected from financial reports of all full-fledged Islamic banks (5), Islamic banking divisions of conventional banks (8) and conventional banks (20) in Pakistan. Logistic regressions were designed to test the proposed hypotheses.

The findings suggest that full-fledged Islamic banks are operationally less efficient and experience higher liquidity risk than conventional banks. However, the asset quality of Islamic banks is better than that of conventional banks. Next, in the robustness analysis, the authors extended the sample size by adding the Islamic divisions (window) of the conventional banks; they found almost the same result except for efficiency which turned out to be non-significantly related to bank type.

The findings are beneficial for investors, depositors, consumers and bank management in understanding the financial features of such as efficiency, liquidity and liquidity risk that separate Islamic banks from conventional banks.

The findings of this study present a clear picture to bankers and practitioners about some financial features of banking systems and depict that Islamic banks are in need to improve their liquidity risk management practices to compete with conventional banks.

Introduction – The banking sector is one of the most important building blocks of the financial system. A failure in the banking sector can cause serious problems in a country’s economy. In order for countries to achieve economic growth and development goals, the banking sector, which affects all sectors significantly, needs to be strong. Countries with a robust and reliable banking system have a high credit rating. As a result of this high credit rating, the interest of foreign capital in the country increases. Thus, the credit volume of banks expands and loans are provided at a more appropriate rate for investments. In this respect, the performance and profitability of banks are important. The CAMELS performance model is a valuation system used to determine the general status of banks. The CAMELS model consists of six components. According to this, C represents capital adequacy; A, asset quality; M, management adequacy; E, earnings; L, liquidity; and S, sensitivity to market risks.

Purpose – The purpose of this study is to demonstrate the effect of the CAMLS variables on the variable E.

Methodology – In the implementation part of the study, the data of 11 banks in the BIST Bank Index between 2004 and 2018 were used. In the analysis part of the study, a panel data analysis method was used.

Findings – The capital adequacy (C), management adequacy (M) and liquidity (L) variables were effective on profitability. This study revealed the importance of the capital, management and liquidity variables, which are internal factors, in increasing the profitability of banks.