scholarly journals The impact of credit risk and macroeconomic factors on profitability: the case of the ASEAN banks

2020 ◽  
Vol 15 (1) ◽  
pp. 21-29
Author(s):  
Myra V. De Leon
Keyword(s):  
Credit Risk ◽  
Fixed Effects ◽  
Inflation Rate ◽  
Ordinary Least Squares ◽  
Gdp Growth ◽  
Fixed Effects Model ◽  
Macroeconomic Factors ◽  
Factors Affecting ◽  
Level Of Significance ◽  
The Impact

This study investigates the effect of credit risk and macroeconomic factors on profitability of 20 ASEAN banks, particularly from Indonesia, Malaysia, Thailand and Philippines, covering the period of 2012 to 2017. The unbalanced panel data were tested for heteroscedasticity and normality. A fixed effects model and a random effects model were utilized followed by simple ordinary least squares (OLS) regression. The obtained results show that credit risk and GDP growth negatively affect Return on Equity (ROE) at 5% level of significance. The inflation rate increases ROE by 0.323%. In terms of influence, inflation has the highest impact on ROE followed by GDP growth and credit risk. Credit risk and GDP growth negatively affect Return on Assets (ROA) at 5% level of significance. ROA was also influenced by an increase in inflation rate. Therefore, this study will help banks and bank managers, depositors, investors, policy makers and governments to identify factors affecting bank profitability.

scholarly journals Profitability Determinants of Big European Banks

2021 ◽  
Vol 10 (2) ◽  
pp. 39-56
Author(s):  
Vesna Karadžić ◽  
Nikola Đalović
Keyword(s):  
Fixed Effects ◽  
Negative Impact ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
The European Union ◽  
Macroeconomic Factors ◽  
Panel Models ◽  
Econometric Methods ◽  
Gdp Growth Rate ◽  
The Impact

Abstract The subject of research in this paper is the profitability of the biggest banks in the European financial market, some of which operate in Montenegro. The profitability of banks is influenced by a large number of factors, including internal banking and external macroeconomic factors. The aim of this paper is to use statistical and econometric methods to examine which factors and with what intensity affect the profitability of large banks in Europe. The empirical analysis used highly balanced panel models with annual data on 47 large banks from 14 European countries over the period 2013-2018. Three static panel models were estimated and evaluated (pooled ordinary least squares, model with fixed effects and model with random effects), as well as dynamic model utilizing general methods of moments. The POLS model was chosen as the best, confirming that all macroeconomic factors have a statistically significant impact on the profitability of big banks, while the impact of internal factors, which are controlled by the bank’s management, is not significant. GDP growth rate, inflation rate and market concentration have a positive effect on profitability, while the membership of the European Union has a negative impact on profit, meaning that banks with headquarters outside the EU are more profitable.

scholarly journals IMPACT OF HUMAN CAPITAL DEVELOPMENT ON PRODUCTIVITY GROWTH IN EU MEMBER STATES

2018 ◽  
Vol 16 (0) ◽  
pp. 1-12 ◽  
Author(s):  
Alma Mačiulytė-Šniukienė ◽  
Kristina Matuzevičiūtė
Keyword(s):  
Human Capital ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Labour Productivity ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Education Expenditure ◽  
Member States ◽  
Eu Member States ◽  
The Impact

In this research, we investigate the impact of human capital on labour productivity in European Union member states using panel data analysis. Results of the paper are estimated using the Pooled ordinary least squares (OLS) and Fixed effects model (FEM). The results show that human capital is positively significant in improving the growth of labour productivity in the EU. Our estimates also suggest that the impact occurs after three times lags in case of education expenditure.

Product diversification, business structure, and firm performance in Taiwanese property and liability insurance sector

2017 ◽  
Vol 18 (5) ◽  
pp. 486-499 ◽  
Author(s):  
Chen-Ying Lee
Keyword(s):  
Firm Performance ◽  
Financial Services ◽  
Fixed Effects ◽  
Ordinary Least Squares ◽  
Product Diversification ◽  
Least Squares Regression ◽  
Fixed Effects Model ◽  
Content Type ◽  
The Impact ◽  
Business Structure

Purpose The purpose of this study is to analyze product diversification, business structure and insurer performance with a comprehensive look at the property-liability (P/L) insurance operations. Design/methodology/approach Using a panel data, this study employs an ordinary least squares regression model, fixed effects model and random effects model to examine the impact of product diversification and business structure on the performance of P/L insurers. The study assesses insurer performance using both risk-adjusted return on assets and risk-adjusted return on equity. Findings The study finds that product diversification is significantly negatively related to the performance of P/L insurers. The results are consistent with the diversification discount theory. The empirical results reveal that business lines have significant impacts on firm performance, particularly on the lines of fire and marine insurances. Furthermore, the interaction between product diversification and firm size implies that product diversification significantly increases the performance of large-sized insurance firms. Originality/value The study provides some valuable insights into the effects of diversification and business structure on the performance of P/L insurers in a developing country. The study’s findings suggest that management of P/L insurers should clarify their objectives and carefully assess the company’s resources when dealing with product diversification and business structure. The results have practical implications for the financial services industry in Taiwan.

scholarly journals The Impact of Macroeconomic and Banking Factors on Credit Growth in the Albanian Banking System

2015 ◽  
Vol 2 (1) ◽  
pp. 113 ◽  
Author(s):  
Ali Shingjergji ◽  
Marsida Hyseni
Keyword(s):  
Interest Rate ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Banking System ◽  
Ordinary Least Squares ◽  
Capital Adequacy ◽  
Gdp Growth ◽  
Credit Growth ◽  
Capital Adequacy Ratio ◽  
The Impact

The aim of this paper is to analyze the influence of some macroeconomic and bankhttp://ejes.euser.org/issues/may-august-2015/Ali.pdfing factors on credit growth in the Albanian banking system. From the literature review is noticed that the credit growth in the banking system is influenced by both macroeconomic and banking factors. We use credit growth as a dependent variable while as independent variables we use: GDP growth, inflation rate, unemployment rate, loan interest rate, capital adequacy ratio, bank size and NPL ratio. The relationship between credit growth and macroeconomic and banking factors was tested by using a regression model like the ordinary least squares (OLS). We take into consideration a period from 2002 – 2013 using quarterly panel data for the whole Albanian banking system with a total of 48 observations per each variable. The regression results find out that the credit growth in the Albanian banking system is positively related to GDP growth, inflation rate and capital adequacy ratio while is negatively related to unemployment rate, interest rate, non performing loans and bank size.

scholarly journals Impact of Full IFRS, Accounting Standards for SMES and Company Demographics on Firms’ Return on Asset and Return on Equity using Panel Data Regression

2019 ◽  
Vol 8 (6S) ◽  
pp. 589-601 ◽  
Keyword(s):  
Least Squares ◽  
Random Effects ◽  
Fixed Effects ◽  
Random Effect ◽  
Ordinary Least Squares ◽  
Lagrangian Multiplier ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Real Property ◽  
The Impact

Due to globalization, markets are becoming more interconnected as the companies are engaged in doing cross-border offerings. Currently, competitions are intensified because Domestic organizations discover themselves competing with each nearby opposite numbers and worldwide companies. But one component that hinders SMEs is the need for reliable and similar monetary data. According to Abarca (2014), adoption of a high-quality and consistent set of accounting requirements is critical so as for the businesses to remain competitive in ASEAN member states. This paper ambitions to answer the query, what modified into the extent of the impact of compliance with full IFRS and IFRS for SMEs on profitability of agencies belong to real property enterprise? This paper moreover sought to decide whether there may be a sizeable distinction among the groups’ compliance with the overall PFRS and the PFRS for SMEs and to determine whether or now not there is a massive distinction among the companies’ financial normal overall performance earlier than and after the adoption of the PFRS for SMEs.Paired T-test have become employed in case you need to determine whether there is a big distinction between the agencies’ compliance with the entire PFRS and the PFRS for SMEs and to decide whether or not there may be a big difference some of the groups’ monetary performance earlier than and after the adoption of the PFRS for SMEs. Using STATA, the great appropriate version for every economic ratio on the subject of degree of compliance emerge as determined on. First, take a look at parm command became used to find out which most of the Least Squares Dummy Variable Regression Modes (LSDV1, LSDV2, LSDV3) underneath the Fixed Effects Model is the ideal version. Afterwards, Hausman Fixed Random Test changed into used to pick out out which is more suitable amongst Fixed Effects Model and Random Effects Model. If Fixed Effects Model modified into the more appropriate one, the Wald’s test turn out to be used to determine the best version among Fixed Effects Model and Ordinary Least Squares Model. On the alternative hand, if Random Effects Model became the more suitable one, the Breusch and Pagan Lagrangian Multiplier Test for Random Effect have become used to decide the satisfactory version amongst Random Effects Model and Ordinary Least Squares. Moreover, if Ordinary Least Squares became the splendid model, it is going to be in addition tested to check for heteroscedasticity and multicollinearity. White’s test became used to check for heterescedasticity and Variance Inflation Factor have become used to test if multicollinearity is gift. The results display that the adoption of PFRS for SMEs stepped forward the compliance of Philippine real property SMEs. However, no vast alternate became said inside the financial average performance of those companies (as measured with the resource of cross back on assets and go back on equity). This was further supported by the results of the panel regression. This means that despite having a relatively

Reverse hysteresis? Persistent effects of autonomous demand expansions

2020 ◽  
Vol 44 (4) ◽  
pp. 835-869 ◽  
Author(s):  
Daniele Girardi ◽  
Walter Paternesi Meloni ◽  
Antonella Stirati
Keyword(s):  
Fixed Effects ◽  
Inflation Rate ◽  
Aggregate Demand ◽  
Participation Rate ◽  
Fixed Effects Model ◽  
Demand Shocks ◽  
Short Run ◽  
Demand Fluctuations ◽  
The Impact ◽  
Local Projections

Abstract Empirical works documenting highly persistent effects of negative demand shocks (‘hysteresis’) have questioned the prevailing wisdom that potential output is exogenous to aggregate demand fluctuations. We assess whether the effects of positive demand shocks also tend to persist beyond the short run. We estimate the impact of 126 aggregate demand expansions in OECD countries between 1960 and 2015 through local projections, using a dynamic two-way fixed-effects model and a propensity score-based specification. We find that demand expansions exert positive persistent effects on GDP, participation rate and capital stock. Effects on the unemployment rate and productivity are also strong and quite persistent, but evidence regarding their permanence is mixed. The effect on the inflation rate is positive but small and imprecisely estimated, and there is no sign of accelerating inflation. Our results bear relevant implications for existing models of hysteresis and for theories of demand-led growth.

scholarly journals Factors affecting Non-Performing Loans (NPLs) of banks: The case of Vietnam

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Vo Minh Long ◽  
Nguyen Thi Yen ◽  
Pham Dinh Long
Keyword(s):  
Commercial Banks ◽  
Fixed Effects ◽  
Inflation Rate ◽  
Research Problem ◽  
Random Effects Model ◽  
Policy Recommendations ◽  
Fixed Effects Model ◽  
Factors Affecting ◽  
Negative Impacts ◽  
Problem Data

This study aims to identify factors affecting Non-Performing Loans (NPLs) of commercial banks in Vietnam. To address the research problem, data of commercial banks in Vietnam from 2008 to 2017 were collected. This study applied a fixed-effects model in comparison with a random-effects model on a panel data of 200 observations. Results from the firmly fixed-effects model indicated that NPLs were positively affected by its lag of the previous year, capital structure, and interest rate. Additionally, returns on asset, inflation rate, and credit growth were found to have negative impacts on NPLs. However, impacts of firm size and gross domestic product were not found across the models. Based on the results, this research suggested several policy recommendations for the management of NPLs in the commercial banks.

scholarly journals Analyse and Survey Variables of Macroeconomic Effects on Credit Risk of Bank Mellat

2016 ◽  
Vol 5 (1) ◽  
pp. 143
Author(s):  
Majid Lotfi Ghahroud
Keyword(s):  
Growth Rate ◽  
Panel Data ◽  
Interest Rate ◽  
Credit Risk ◽  
Inflation Rate ◽  
Nominal Interest Rate ◽  
Series Data ◽  
Gdp Growth ◽  
Financing System ◽  
The Impact

Trying to identify, measure and manage credit risk in the banking system is crucial. Given that on the one hand financing system of the country is bank-based and on the other hand lack of proper investigation in the credit risk area lead to a reduction in the allocation of resources in the form of loans and has been increased the non-performing loan. Therefore, concerning about credit risk and its reduction strategies has grown. In this study attempted to examine the impact of macro-economic features, such as GDP, inflation, rate of GDP growth, imports goods and final services, rate of nominal interest, amount of credit risk in the last period and the growth rate of facility to be addressed in Credit risk of the Mellat Bank.Moreover, the effects of macroeconomic conditions on credit risk are investigated. In this regard, credit risk of 52 active branches of Mellat Bank with variables such as GDP growth, GDP rates, inflation ,credit growth and nominal interest rate since 1386 to 1391 has been measured by using panel data. To do this, combination of cross-sectional and time-series data (panel data) are used. That means relation between the variables evaluated and tested by using econometric methods such as data compilation methodology (panel data). To estimate the model, to select the best model of conventional panel data, fixed effects and random effects, the F and Housman tests will be done. In this regard, E-views software utilized and Excel for calculation of variables has been used. Based on the results of research the effect of nominal interest rate, facility growth rate and the grow rate of GDP on the credit risk is significant and positive in contrast, the inflation rate has had a negative effect on credit risk.

scholarly journals Factors Affecting the Competitive Capacity of Commercial Banks: A Critical Analysis in an Emerging Economy

2020 ◽  
Author(s):  
Kieu Oanh Dao ◽  
Le Kieu ◽  
Pham Thuy Tu ◽  
V.C. Nguyen
Keyword(s):  
Market Power ◽  
Commercial Banks ◽  
Fixed Effects ◽  
Stock Exchange ◽  
Generalized Method Of Moments ◽  
Banking System ◽  
Least Square ◽  
Fixed Effects Model ◽  
Factors Affecting ◽  
The Impact

This research was conducted to investigate the factors influencing the commercial bank’s competitive capacity in an emerging country. Data were collected from the domestic-owned commercial banks and foreign-owned commercial banks listed on Vietnam’s Stock Exchange over the period of nine years from 2010 to 2018. Three statistic approaches were employed to address econometrics issues and to improve the accuracy of the regression coefficients: Pooled Ordinary Least Square (Pooled OLS), Random Effects Model (REM), and Fixed Effects Model (FEM). To correct the diagnostics and endogeneity in the model, the study uses Generalized Least Square (GLS) and Generalized Method of Moments (GMM). In order to account for the degree of competitive capacity we use Lerner index. Results demonstrate that the impact of bank-specific characteristics on market power in banks is statistically significant, and there are substantial distinguishments of economic consideration among these factors. In addition, a bank with a higher level of competitive capacity in the previous year will outstandingly generate competitive capacity in the current year. Another possibility, a greater level foreign investment into the banks in the host country could further encourage competitive capacity in the banking system. Finally, economic growth rate has no impact on competitive capacity at a significant level of 5% while a positive effect from inflation on bank’s market power could be found.

scholarly journals Factors Affecting the Competitive Capacity of Commercial Banks: A Critical Analysis in an Emerging Economy

2020 ◽  
Vol 11 (4) ◽  
pp. 241 ◽  
Author(s):  
Le Kieu Oanh Dao ◽  
Thuy Tu Pham ◽  
Van Chien Nguyen
Keyword(s):  
Market Power ◽  
Commercial Banks ◽  
Fixed Effects ◽  
Stock Exchange ◽  
Generalized Method Of Moments ◽  
Banking System ◽  
Least Square ◽  
Fixed Effects Model ◽  
Factors Affecting ◽  
The Impact

This research was conducted to investigate the factors influencing the commercial bank’s competitive capacity in an emerging country. Data were collected from the domestic-owned commercial banks and foreign-owned commercial banks listed on Vietnam’s Stock Exchange over the period of nine years from 2010 to 2018. Three statistic approaches were employed to address econometrics issues and to improve the accuracy of the regression coefficients: Pooled Ordinary Least Square (Pooled OLS), Random Effects Model (REM), and Fixed Effects Model (FEM). To correct the diagnostics and endogeneity in the model, the study uses Generalized Least Square (GLS) and Generalized Method of Moments (GMM). In order to account for the degree of competitive capacity we use Lerner index. Results demonstrate that the impact of bank-specific characteristics on market power in banks is statistically significant, and there are substantial distinguishments of economic consideration among these factors. In addition, a bank with a higher level of competitive capacity in the previous year will outstandingly generate competitive capacity in the current year. Another possibility, a greater level foreign investment into the banks in the host country could further encourage competitive capacity in the banking system. Finally, economic growth rate has no impact on competitive capacity at a significant level of 5% while a positive effect from inflation on bank’s market power could be found.

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