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The purpose of this study is to determine the effect of the level of banking health on the ratio of liquidity coverage in the corporate banking sub-sector included in the category of commercial banks based on business activities (BOOK) 3 during the 2017-2018 period with each period only taking 2 quarterly data. The sample in this study was a banking company listed on the IDX and included in a commercial bank based on business activities (BOOK) 3 consisting of 19 banks selected using the purposive sampling method, with a total of 76 data units. The analytical method used in this study is panel data regression analysis. The results of partial hypothesis testing indicate that the ratio of liquidity coverage is influenced by the level of health with the Altman Z-Score modification method and the Grover G-Score method.

This study examines the influence of credit risk on the shareholder market value of commercial banks listed in the Nairobi Securities Exchange. A mixed-method approach and concurrent design were used in this study. Logistic regression was performed to ascertain the influence of credit risk on shareholder market value of commercial banks listed in the Nairobi Securities Exchange as a quantitative method and processes tracing as a qualitative approach to trace the causal mechanism by which credit risk contributes to shareholder market value. This research demonstrated that (i)there is a relationship between credit risk and shareholder market value among the commercial banks listed in NSE; (ii) Wald (1) =41.475, p=.000, sig<.05, 2-tailed is below the permissible value of likelihood above which null hypothesis is accepted. The study concludes that there is a relationship between credit risks and Shareholders Market Value in commercial banks listed in NSE. 

The study examined the dynamic responses of profitability indexes to capital adequacy ratios of authorized internationalized deposit money banks in Nigeria. The data were sourced from the financial year books of the deposit money banks and analyzed with static and dynamic panel estimators. The static estimator shows that the banks have differences in managerial style, size and profitability. Also, it was revealed that return on asset and return on equity responded positively to asset size, efficiency of the use of asset and current ratio in the static models and they were highly significant. However, they were insignificant in the dynamic specifications except asset size that was significant in the return on asset model showing a weak dynamic response of profitability to capital adequacy ratios. Hence the study recommended that Banks should improve their share based as to increase the asset as this will improve profitability.

Since independence in 2011 the Republic of South Sudan has witnessed growth in the financial systems and the overall economy. This has led to growth in the number of the financial institutions in the country. There is however minimal research on their overall performance. Hence the current research sought to determine the effect of ownership structure, bank stability and the financial performance of commercial banks in South Sudan. The population for the study was all the 29 commercial banks in South Sudan. Secondary data was collected for the period 2012-2017 from audited annual financial reports of individual banks and from the Central Bank of South Sudan reports while primary data was collected by use of a semi-structured questionnaire. The research utilized both descriptive and inferential statistical methods in the analysis. The statistical tests to be utilized in the study included t-tests, f-test, regression models and ANOVA models. The results of the study indicated there was a statistically significant moderating effect of ownership structure on the financial performance of commercial banks in South Sudan. The study recommends that the government should adopt better measures to safeguard public owned commercial banks to improve their efficiency and performance.

The main aim of this study was to empirically assess the main microeconomic factors that affect a bank's performance. The objectives were to ascertain if there is a relationship between the performance variables with the microeconomic variables, determine those that are significant and their impact on the performance of banks in Zimbabwe. An econometric model was built from balanced panel data and the Arellano-Bond estimation procedure was employed. The empirical analysis was carried out on a sample of 17 banks that were operational in the years 2010 to 2017 in Zimbabwe. Return on Assets (ROA), Return on Equity (ROE) and Net Interest Margin (NIM) were used as the performance indicators in the analysis. The results indicate the main microeconomic factors to be those attributed to growth, credit risk, capitalisation, managerial efficiency, liquidity and diversification in the Zimbabwean financial institutions. Performance in these institutions is generally good as measured by positive persistent profits, that is, ROA, ROE and NIM. These returns reflect the extent to which these institutions are resilient to the economic crisis.

Purpose: Using panel data approach in Pakistani banking sector for 7 year time period from 2010 to 2016, the aim behind this study was to examine the bank specific, industry specific and macroeconomic determinants of bank profitability Research Design: Quantitative research design has been employed with OLS, random effect model and fixed effect model, moreover regression and correlation analysis has been used in this study Findings: Rise in NPLs ratio, Loan loss provision, inflation and exchange rate reduces the profitability of banks while increase in market power, bank size, capital adequacy enhance the profitability Practical Implication: The deleterious impact of different indicators on profitability of banks shows that distressed banking sector can cause hindrance in not only growth of financial sector but can also cause the poor growth of economy. Outcomes of the study emphasis on the need of clear-out of NPLs to keep financial sector sound as NPLs cause high loan loss provision which effect the capitalization of banks that ultimately effect the economic growth of financial as well as other sectors of economy. Banking supervisory agencies should pay attention towards banking monitory policies and banks macroeconomic policies Originality/value: This study examine the impact of all three types of indicator (Bank specific, industry specific and macroeconomic) on banks profitability by employing latest data from 2010 to 2016 in which major reforms were held in banking industry of Pakistan because there exist rare studies with all three types of variables with latest figures

Banks are believed to  instrumental to economic growth because it provides the financial backbone needed to spur economic development through business creation and expansion. A healthy and resilient banking sector signals economic growth and development that is sustainable. The efficient transfer of funds from those that has surplus of them towards those that need them has been made possible due to the intermediation of banks. In the Philippines, banking formally started in 1851 with the establishment of the Bank of the Philippine Islands, which up to this day, stands to be one of the country’s biggest and most stable universal bank. This study analyzes how universal banks grew over the years, and determines whether a correlation exists between universal bank growth and economic growth, using the variable of GDP growth rate as proxy for economic growth. The study showed that at the most recent periods, universal banks’ ROE and ROA are negatively correlated with GDP growth rate.   Key words: Universal banks, History of banking, Economic growth of the Philippines, GDP growth rate

Despite increasing bank competitiveness within the country for the past half-decade there has been scant literature examining their stability in the face of the numerous internal factors and economic shocks. Hence the current research aims to determine if bank stability has any effect on commercial bank’s fiscal performance in South Sudan. The study was guided by the CAMEL model metrics (ROA and ROE) in measuring stability and its influence on the monetary performance of commercial banks. SPSS 23 was used to carry out subsequent descriptive and inferential statistical analysis. The study was primarily grounded on the CAMEL model.  The correlation tests indicated that asset quality had a strong positive effect on monetary performance of commercial banks p= .784; a strong positive effect of management efficiency p= .758 and liquidity p= .620.

The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.

The banking sector in Kosovo continues to have a high level of sustainability and financial stability. Two substantial components for the stability of the banking system appear to be liquidity and liquidity risk. The purpose of this paper is to analyze liquidity management in Kosovo's commercial banks through liquidity risk indicators from 2008 to 2017. By comparing the methodology of the data presented, the study will assess the state of management of the liquidity risk of commercial banks. From 2008 until now, commercial banks in Kosovo have had liquidity reserves at a level higher than the level required by CBK, which means that exposure to liquidity risk was minimal.

Non-performing loans (NPLs) present one of the most controversial issues in both developed and developing countries. The main purpose of this paper is to analyze and compare the loan portfolio and NPLs in the Western Balkan countries: Albania, Bosnia and Herzegovina, Kosovo, Macedonia, Montenegro, and Serbia for the period 2008-2015. Besides, this research aims to make a comparative analysis of some other macroeconomic indicators and industry factors that affect them such as GDP, banking sector assets, loan portfolio, asset participation in GDP, credit participation in GDP, deposit credit ratio, the NPL report on total loans. The results show that the NPL have had a growing trend in the post-global financial crisis, with different variations. In this regard, the highest rate of NPL reflects Serbia, Albania, followed by Montenegro, B&H, and Macedonia, while the lowest rate is in Kosovo.

Banks between the financial services they provide play significant roles in the country's economy The importance of banks in Kosovo is one of the essential catalysts in economic growth. The banking industry based on efficiency and performance industryis the leading indicator of the country's financial stability The pace of economic growth and long-term stability in the country varies from the level of credit and for what economic activities the bank finances. Credit risk is the primary determinant of banking performance. The higher the risk that the higher the risk is the probability of bank loss and vice versa In this study banking activities will be discussed and events in general, as well as an analysis of the financial system especially at banks, with particular emphasis on the importance of credit risk management. 

This study analyses the impact of credit risk management on financial performance of commercial banks in Kosovo, and comparing the relationship between the determinants of credit risk management and financial performance by using CAMEL indicators. Panel data of 85 observations from 2008 to 2012 of ten commercial banks was analysed using multiple regression model. Findings through multiple regression analysis are presented in forms of tables and regression equations. The study also elaborates whether capital adequacy, asset quality, management efficiency, earnings and liquidity have strong or weak relationship with financial performance of commercial banks. The study concludes that CAMEL model can be used as a system of assessment and rating of credit risk management by commercial banks in Kosovo.

This study explores the effect of selected interest rate determinants and their significance on the performance of Deposit money banks in Nigeria, and whether the determinants are significantly different between High performance and low performance periods, over the period of 1998 to 2015. Multivariate ordinary least squares regression and paired samples t-test were employed in performing the study. The findings of Multivariate ordinary least squares regression revealed that exchange rate has a positive and statistically significant effect on deposit money bank performance, Monetary policy rate and Credit Risk have a negative and statistically significant effect on deposit money bank performance , while Inflation rate and savings deposit rate have a statistically insignificant effect on deposit money bank performance. Results of paired samples t-test revealed significant difference in means of determinants. The study recommends Naira devaluation and reduction of monetary policy rate amongst other recommendations to boost bank performance in Nigeria

The success of SMEs is determined by the business capital and able to give value added to the business more productively. Various financing pattern schemes for SMEs have been provided in various regions and all economic sectors. However, the development of SMEs credit is still concentrated in several regions in Indonesia this can lead to inequality in the growth of SMEs. This study aims to analyze the convergence of absolute beta and conditional beta in the Provinces in Indonesia and calculate the half-time or time required to achieve steady-state conditions of the SME credit convergence process. Convergence test used is beta conditional convergence and absolute convergence with the monthly time period during 2017.1 until 2017.7. The determinant of SMEs convergence of credit in Indonesia is a number of third-party funds. The model used is dynamic panel data regression and the estimation method used is Arellano-Bond Generalized Method of Moment (AB-GMM). The results of the study show that during the study period, there has been a convergence credit process in Indonesia for both absolute and conditional convergence models. The conditional beta-convergence model provides a smaller beta value than the absolute model. The speed of credit growth convergence between provinces in Indonesia with half-time of 6.94 months for the absolute model and the half-time of 6.96 months for the conditional model

The purpose of this article is to examine the impact of selected internal and external factors on a bank’s profitability. The research investigates the impact of operational size, liquidity, risk appetite, management efficiency, product diversification, concentration, GDP growth and inflation change on the profitability of sample of 4179 European commercial banks for the period between 2011 and 2015. The input data were obtained from the Orbis Focus and the World Bank databases. The determinants were used to construct two models with ROAA and ROAE as a proxies and regression analysis using between groups panel approach was conducted. It has been found that growing economy impacts banks’ profitability positively. It has been robustly confirmed that management efficiency, product diversification, market concentration and inflation result in decreased profitability. The operational size has been found to be negatively linked to changes in net results but was confirmed only with ROAA model. Similarly, statistically significant results with regard to liquidity were found only for ROAA model and the correlation was positive. The strong negative impact of market concentration on profitability is an interesting finding allowing for further exploration of reasons for this unexpected vector of correlation.

<p><em>In this study, we investigate factors affecting net interest margin (NIM) of commercial banks in Turkey. Especially, our results highlight the relation between unconventional monetary policy shocks and bank margins. To this end, first, we conduct an identification analysis about which parameters of asymmetric interest corridor framework are important in explaining variations in NIM. Using industry-level data, we show that there exists a pass through from BIST interbank overnight repo/reverse repo market rate and weighted average cost of funding (WACF) to bank loan and deposit rates. As a result of reduced-form Vector Autoregression (VAR) analysis we find the existence of a transmission mechanism from BIST rate and WACF to commercial loan rate, consumer loan rate and deposit rate. Same pass through to loan and deposit rates is also shown in individual bank level with the Panel Vector Autoregression (Panel VAR) analysis in the case of 16 commercial banks in Turkey during the period 2011Q1-2016Q1. After the identification analysis, we examine the relationship between NIM and policy rates through System Generalized Method of Moments (GMM) techniques by controlling bank specific, industry related and macroeconomic factors. We find that a change in the monetary policy rate has significant and positive impact on NIM. Among bank-specific factors, equity ratio and operating expenses are found to be significantly affecting NIM during the sample period. Our empirical findings also stress the significance of lag values of NIM. Estimations conducted with standardized variables indicate that economic significance of lag values and bank specific variables are larger than that of policy.</em></p>

<p>This study grants empirical support to the fact that profitability of the Pakistani banking sector was reduced during 2008-2009 and among other factors this reduction was attributed to the global financial crisis and resulting increased investments portfolio in total assets. We have used panel data of all Pakistani scheduled banks during 2005-2012. We proved theoretically and empirically that fixed effects model is appropriate for this study. <em>Second </em>stage analysis confirms the above results and shows that the profitability of Pakistani banking sector was higher in pre and post crisis years than, in financial crisis period. Profitability was relatively lower in the after crisis years then in before crisis years because of the residual effects of the global financial crisis. In <em>third stage</em> analysis we found that private and foreign banks were more affected by financial crisis than public sector, specialized and Islamic banks. Our results are robust to alternate measures of profitability. In context of developing countries this study will help bank managers and the regulators to stay better prepared to face any financial crisis in future.  </p>

<p>Operational risk threatens banks financial viability and long-term sustainability. The purpose of this paper is to explore the effect of operational risk on financial performance of commercial banks in Kenya. The qualitative research design and ordered logistic model were employed. The data was analysed with the aid of STATA software. The conclusion of the study was that there exists an inverse relationship between operational risk and financial performance. The study also finds that bank size moderates the effect internal and external fraud on financial performance of commercial banks in Kenya by shrinking it. Bank size moderates the effect execution, delivery and process management on financial performance of commercial banks in Kenya by enhancing it. The guidelines and procedures provided by the Central bank of Kenya on operational risk management should be fully adhered into.</p>

This study examines the influence of liquidity on the profitability of Iraqi commercial banks. Five banks based in Iraq namely: North bank, Iraqi Islamic bank, Sumer bank, Dar Es-Salam bank and Babylon bank randomly selected and analyzed for the current study over the period 2005 to 2013. Moreover,  annual reports of these banks have studied and the main ratios of profitability and liquidity were calculated. These reports are available at Iraqi Stock Exchange site. The variables that were identified as independent for liquidity were, loan deposit ratio, deposit asset ratio and cash deposit ratio, while return on assets as dependent variable for profitability. The Ordinary Least Square (OLS) model used to examine the impact of liquidity on profitability. The study observes that any increase in liquidity ratios as above mentioned will lead return on asset to increase as well. Depending on this study it could be better for Iraqi banks to keep a balance between liquidity and profitability.