Financial performance of commercial banks in the emerging markets

In the economic growth of a country, the banking sector plays a significant role (Alam, Rabbani, Tausif, & Abey, 2021). The overall objective of the study is to investigate the financial performance of commercial banks in emerging markets. The study tried to see the impact of governance, exchange rate volatility, trade openness, and internet access on the financial performance of commercial banks in Ethiopia during the years from 2014 to 2019. The study employed a random-effects model using balanced panel data. The result indicated that composite governance index, trade openness, and internet access have a positive and statistically significant effect on the financial performance of commercial banks as measured by their return on assets. However, the exchange rate volatility has a negative and statistically significant effect on the financial performance of commercial banks. On the other hand, the result of bank-specific variables considered in the study such as profit margin, asset utilization, net interest margin, overhead efficiency, and numbers of branches have a positive and statistically significant effect on the financial performance of commercial banks. Contrarily, the equity multiplier ratio has a negative and significant effect on the financial performance of commercial banks

PERAN NILAI PERBANKAN DALAM MEMEDIASI PENGARUH NON PERFORMING LOAN DAN NET INTEREST MARGIN TERHADAP RETURN SAHAM PERBANKAN GO PUBLIC

Hasil penelitian terdahulu menunjukkan terjadi gap pengaruh antara non performing loan (NPL) dan net interest margin (NIM) terhadap return saham. Selain itu juga ada rekomendasi untuk membuat model penelitian factor – factor yang mempengaruhi return saham perbankan yang go public secara bertingkat (Struktural). Populasi dalam penelitian ini adalah sebanyak 43 perbankan go public. Besar sampel yang digunakan sebanyak 35 bank dengan metode pengambilan sampel menggunakan purposive sampling, sehingga jumlah observasi sebanyak 210 observasi. Alat analisis yang digunakan adalah menggunakan persamaan regresi linier berganda dan sobel test (uji mediasi). Hasil penelitian menunjukkan bahwa ­non performing loan (NPL) terbukti mempunyai pengaruh negative dan signifikan terhadap price book to value (PBV) dan return saham. Net interest margin (NIM) terbukti mempunyai pengaruh positif dan signifikan terhadap Price book to value (PBV) dan return saham. Price to book value mampu memediasi pengaruh net interest margin (NIM) terhadap return saham perbankan yang go public di Indonesia akan tetapi tidak mampu memediasi pada variable non performing loan (NPL)

Analisis Faktor Spesifik Bank Terhadap Non Performing Loan Pada Bank Umum Konvensional Yang Terdaftar Di Bursa Efek Indonesia

The purpose of this research is to analyze the effect of bank specific factors on non-performing loan on public conventional banks. The dependent variable studied was the non-performing loan and independent variables examined were capital adequacy ratio, bank size, loan to deposit ratio, net interest margin, return on equity, operating expenses to operating income, and earning per share. The secondary data obtained from the annual reports submitted in the IDX. Sample consist of 32 public conventional banks listed in IDX in the period of 2012-2017. The result of this study indicate that bank size and net interest margin has a positive and significant impact on non-performing loan. While return on equity showed a negative and significant impact on non-performing loan. The result of this study also showed that capital adequacy ratio, loan to deposit ratio, operating expenses to operating income and earning per share did not have any significant impact on non-performing loan.

Rasio Profitabilitas: Mengukur Performance dan Tingkat Kesehatan Perbankan yang Terdaftar di BEI Tahun 2020

The Covid-19 pandemic in Indonesia is still ongoing to this day causing the performance and health level of banking profitability to decline and the financial condition of the country disrupted. Banking profitability can be seen in the value of Return On Asset (ROA) to see the effectiveness of banking in making profits by utilizing total assets. The study aims to analyze the effect of financial ratios consisting of Capital Adequacy Ratio (CAR), Non-Performing Loan (NPL), Loan to Deposit Ratio (LDR), Operating Expenditures to Operating Income (BOPO), and Net Interest Margin (NIM) on Return On Asset (ROA) on banking going public listed on the Indonesia Stock Exchange (IDX) during 2020 during the Covid-19 pandemic. The population in this study was 40 banks with 160 data. Data analysis methods use descriptive statistical tests, classical assumption tests, multiple linear regression tests, t-tests, f-tests, and determination coefficient tests. The results of the study proved that partially the variables CAR, LDR, and BOPO had a negative and significant effect on ROA. NIM has a positive and significant influence on ROA. While NPL has no influence and is not significant to ROA in banks registered with IDX in 2020. Simultaneously car, NPL, LDR, BOPO, and NIM variables have a significant effect on ROA. The implications of the results of the study prove that in the time of the Covid-19 pandemic, the condition of banks registered with the IDX is still healthy and meeting the minimum CAR ratio below 8%, meaning that banks still earn profits from the results of credit capital management to customers. The level of insecurity of the number of bad loans is still low and can still overcome. The value of the operating expense ratio of banking operating.

Analysis of Factors Affecting Financial Performance of BUKU 3 Banks with Growth of Third Party Funds as Moderating Variable

The purpose of this study was to determine and analyze the factors affecting financial performance of BUKU 3 banks with growth of third party funds as moderating variable. This study uses a causality research design. The population in this study is the Banking Service Industry Company which is all Banking Companies listed on the Indonesia Stock Exchange which consists of 46 Banks. The year of observation is 2010-2020. 12 Banking Companies that have met the requirements with 11 years of research in order to obtain 132 observations. In this research, the technical analysis used is panel data regression analysis technique. The results showed that capital adequacy ratio has no effect on financial performance. Operating expense to operating income has a negative effect on financial performance. Net interest margin has a positive effect on financial performance. Non performing loan has no effect on financial performance. Loan to funding ratio has no effect on financial performance. Minimum statutory reserve has no effect on financial performance. Female board of directors has no effect on financial performance. Third party funds cannot moderate the relationship between capital adequacy ratio and financial performance. Third party funds can moderate the relationship between operating expense to operating income on financial performance. Third party funds cannot moderate the relationship between net interest margin and financial performance. Third party funds cannot moderate the relationship between non performing loan and financial performance. Third party funds cannot moderate the relationship between loan to funding ratio and financial performance. Third party funds cannot moderate the relationship between minimum statutory reserve and financial performance. Third party funds can moderate the relationship between female board of directors and financial performance. Keywords: Financial Performance, Growth, Funds.

An empirical analysis of the determinants of the U.S. banks’ profitability

This study investigates the determinants of the profitability of U.S. banks. Employing quarterly data, this paper further examines the historical and recent trends for all U.S. banks from 1996 to 2019 in the relationship between return and assets (ROA) and other bank internal (or endogenous) profitability contributors such as net interest margin (NIM), loan loss reserves, ratio of non-performing loans to gross loans, and external (or exogenous) macroeconomic variables, such as the 30-year average mortgage rate, Gross Domestic Product (GDP) economic growth rate, unemployment rate, interest rate, inflation rate and openness (i.e., exports + imports/GDP) by using the Generalized Method of Moments (GMM) estimator technique. The results reveal that bank-specific variables, including net interest margin, loan loss reserves and non-performing loans, have a significant impact on bank profitability in the United States. Similarly, the results show that macroeconomic variables, namely the average mortgage rate, economic growth, and unemployment rate, exert significant effects on the U.S. banks’ profitability. The results further indicate that changes in openness are detrimental to bank profitability. The implications are discussed.

Non-Performing Loan Determinants during COVID-19 Pandemic (Case Study at Bank XYZ)

Non-Performing Loans (NPL) is a financial ratio that shows the credit risk faced as a result of granting credit and investment funds on different portfolios. This study aimed to analyze the determinants of Non-Performing Loans (NPL) before and during the Covid 19 pandemic at Bank XYZ. NPL can be caused by internal or external factors from Bank XYZ. The analytical method used is the Mixed method which combines quantitative and qualitative analysis. Data analysis used multiple linear regression method using time series data for the 1st quarter of 2013- 4th quarter of 2020. The analysis method used multiple linear regression to see the influence of internal factors are total credit, Return on Equity, Loan to Deposit Ratio, Net Interest Margin, total assets, BOPO, condition dummy before after transformation and external factors are Benchmark Interest Rate, exchange rate (exchange rate), Inflation, Industry Production Index, dummy conditions before and during the Covid 19 pandemic on Bank XYZ's NPL. The estimated regressions are the overall NPL, the Small Medium Enterprise (SME) Business Segment NPL, the Small Medium Enterprise (SME) Business Segment for the wholesales business sector, and the Small Medium Enterprise (SME) Business Segment NPL for the Retailer business sector. Data processing using E-views software version 9.0. The result of this research are factors that affect the overall NPL: Dummy Transformation, Net Interest Margin, and total assets, for the NPL for the Small and Medium Enterprises (SME) segment: total assets, dummy transformation and Net Interest Margin (NIM), NPL for the Small and Medium Enterprises (SME) business sector Wholesales: BOPO NIM, Lending growth, total assets, ROE and Dummy Transformation, for the NPL segment of Small and Medium Enterprises (SMEs) Retailer business sector: Net Interest Margin (NIM) and total assets. The impact of the COVID-19 pandemic on NPLs was most felt by the NPL all, SME business segment credit and the wholesales business sector. Keywords: covid-19 pandemic, NPL, NPL SME, retailer, wholesales.

Importance of Corporate Governance: Evidence from Kosovo’s Banking Sector

This study identifies and assesses the impact and effect of corporate governance (CG), as a good practice mechanism, as well as some specific financial indicators on the performance of the banking sector in Kosovo. The data used in the research are defined as secondary data that include nine (9) commercial banks and cover the period 2013–2020. The analysis applied to data processing is the dynamic approach through 2SLS estimation for the dependent variables ROA, ROE, and NIM. The results obtained at the end of the study show that all variables applied in this research, depending on the variable defined for evaluation, have a significant impact on the performance of the banking sector. The results also show that the most adequate measure for assessing a bank’s performance is the net interest margin (NIM). This research paves the way for debate and discussion on the governing structures of financial institutions and policymakers.

The Determinants of Net Interest Margin: An Empirical Study of Indonesia Category-IV Banks for the Period of 2014-2017

Bank’s Net Interest Margin (NIM) is a key indicator on how bank performs its intermediary function and necessary for the financial system stability. NIM is influenced by both internal and external determinants. This study aims to analyze these internal and external determinants of NIM for Indonesia’s Category-IV banks in the period of 2014 to 2017. The internal determinants used as independent variables are Loan to Deposit Ratio (LDR), Operating Efficiency Ratio (OER), and Capital Adequacy Ratio (CAR). Meanwhile, the external determinants used as independent variables are Interest Rate volatility and Inflation. This study uses four Indonesia’s Category-IV banks which were chosen by purposive sampling methodology based on criteria set with quarterly time horizon. These 4 commercial banks are those listed as ‘Category-IV’ or BUKU 4 during the study’s time frame. The statistical approach being used is panel least square fixed effect model. This study reveals that Loan to Deposit Ratio (LDR), Operating Efficiency Ratio (OER), and Inflation have positive significant influence toward NIM. In contrast, Capital Adequacy Ratio (CAR) shows negative significant influence, while Interest Rate volatility contributes insignificantly to NIM. The overall findings underlined that contribution of internal factors are consistent in influencing the value of NIM in a significant way.

Determinant of Net Interest Margin Banking In Indonesia, During The Period 2009 - 20018

The purpose of this study is to examine the effect of Loan Growth, Unemployment, BOPO, CAR, Inflation, and Exchange Rate in relationship with Net Interest Margin. The research object used is banking data BUKU I to BUKU IV 2009-2018 published by Financial Service Authority, known as OJK. The analysis technique used is panel data regression analysis with Eviews 9.0 analysis tool. The results showed that the variables which consist of Loan Growth, and Unemployment had a significant positive effect on Net Interest Margin. Other independent variables, which consist of BOPO and Exchange Rate had a significant negative effect on Net Interest Margin. While CAR and Inflation do not show a significant impact on Net Interest Margin.