scholarly journals Determinants of Non-Performing Loans: Evidence from Europe

2018 ◽  
Vol 13 (10) ◽  
pp. 230
Author(s):  
Antonio Salvi ◽  
Candida Bussoli ◽  
Lavinia Conca ◽  
Marisa Gigante
Keyword(s):  
Panel Data ◽  
Unemployment Rate ◽  
Multivariate Regression ◽  
Gdp Growth ◽  
International Level ◽  
Macroeconomic Indicators ◽  
European Banks ◽  
Loan Quality ◽  
Asset Quality ◽  
The Impact

The issue of banks’ loan quality has assumed growing importance at the international level. This study aims to tackle the issue and to verify the impact of bank-specific determinants and macroeconomic indicators on banks’ loan quality. The analysis is conducted on a sample of 2,816 European banks over the period 2011-2015 through a multivariate regression with panel data. The main evidence shows that a higher return on average assets and a greater soundness of the bank can be associated with a better loan quality. Furthermore, the results also demonstrate that system conditions can contribute to determining banks’ asset quality. Adverse cyclical conditions, resulting from a lower GDP growth and a higher unemployment rate, can generate a lower loan quality.

A revisit of the unemployment rate, interest rate, GDP growth and Inflation of Pakistan: Whether Structural break or unit root?

2021 ◽  
Vol 3 (2) ◽  
pp. 80-92
Author(s):  
Sara Muhammadullah ◽  
Amena Urooj ◽  
Faridoon Khan
Keyword(s):  
Interest Rate ◽  
Unemployment Rate ◽  
Unit Root ◽  
Structural Breaks ◽  
Inflation Rate ◽  
Structural Break ◽  
Unit Root Test ◽  
Unit Root Tests ◽  
Gdp Growth ◽  
Macroeconomic Indicators

The study investigates the query of structural break or unit root considering four macroeconomic indicators; unemployment rate, interest rate, GDP growth, and inflation rate of Pakistan. The previous studies create ambiguity regarding the stationarity and non-stationarity of these variables. We employ Zivot & Andrews (1992) unit root test and Step Indicator Saturation (SIS) method for multiple break detection in mean. GDP growth and inflation rate are stationary at level whereas unit root tests fail to reject the null hypothesis of the unemployment rate and interest rate at level. However, Zivot and Andrew unit root test with a single endogenous break indicates that the unemployment rate and interest rate are stationary at level with a single endogenous break. On the other hand, the SIS method reveals that the series are stationary with multiple structural breaks. It is inferred that it is inappropriate to take the first difference of the unemployment rate and interest rate to attain stationarity. The results of this study confirmed that there exist multiple breaks in the macroeconomic variables considered in the context of Pakistan.

Entrepreneurship in Tourism Sector in Central European Country: Hospitality Trends in the Czech Republic in 2007 - 2016

2019 ◽  
Vol 9 (6) ◽  
pp. 1351
Author(s):  
Ladislav MURA ◽  
Patrik KAJZAR
Keyword(s):  
Czech Republic ◽  
Unemployment Rate ◽  
Moderate Increase ◽  
Sources Of Information ◽  
Real Wages ◽  
The Czech Republic ◽  
Central European ◽  
Tourism Sector ◽  
Macroeconomic Indicators ◽  
The Impact

The aim of this paper is to evaluate the impact of occupancy in accommodation establishments in the Czech Republic at an average pace of real wage growth (%), GDP (%) and unemployment rate (%) in the period 2007-2016. The main sources of information utilized in contributions are based on tourism statistics and selected macroeconomic indicators obtained from the website of the Czech Statistical Office. The data was analysed using SAS software. The authors use regression analysis. It deals with dependence of the quantitative variable on one or more quantitative variables. The main results of this survey indicate an increase of  occupancy in collective acommodation establishements in the Czech Republic between 2007 - 2016, as well as a moderate increase was detected in  real wages and the GDP. While detecting an  increase of  occupancy in collective acommodation establishements in the Czech Republic, the fall of unemployment rate was recognized.

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 The Impact of Government Size on Inflation in selected Developing Countries (2006-2014)

2018 ◽  
pp. 71-90
Keyword(s):  
Growth Rate ◽  
Developing Countries ◽  
Panel Data ◽  
Interest Rate ◽  
Inflation Rate ◽  
Government Size ◽  
Gdp Growth ◽  
Money Growth ◽  
Gdp Growth Rate ◽  
The Impact

One of the serious challenges facing developing countries that are facing is the issue of inflation. Inflation creates serious challenges for economic agents as a result of the greatly damaging effects of economic and economic growth. Despite the general understanding of the concept of inflation, there is still no agreement between economists on the causes of its creation. The present study examines the impact of government size on inflation in 16 selected developing countries (Afghanistan, India, Iran, Malaysia, Mexico, Argentina, Qatar, Singapore, Kuwait, Pakistan, Uruguay, Benon, Nepal, Mali, Vietnam and Bhutan) will be tested during the period from 2006 to 2014. The pattern examined for this purpose, using the combination (panel) data in the least squared method completely, for the investigated pattern for this purpose, using generalized least squares panel data, toinvestigate the effect of each of the variables of government size, the index of import value, interest rate, Money and quasi money growth rate and GDP growth rate used on the Inflation rate. The results of this research indicate that the Money and quasi money growth rate, interest rate and growth rate of the import value index had a positive and significant effect on the inflation rate, and the GDP growth rate had a negative and significant effect on the inflation rate. Also, the main independent variable of government size model has had a negative and significant impact on inflation in the studied countries.

scholarly journals The Impact of Globalization on Economies of Developed Countries

2013 ◽  
Vol 2 (3) ◽  
pp. 25 ◽  
Author(s):  
Lenka Pelegrinová ◽  
Martin Lačný
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Time Series Analysis ◽  
Regression Model ◽  
Nonparametric Regression ◽  
Developed Countries ◽  
Global Level ◽  
Nonparametric Regression Model ◽  
Macroeconomic Indicators ◽  
The Impact

The concept of globalization is interpreted by various authors in terms of its importance or content. This article presents results of an analysis of the influence of globalization trends on important macroeconomic indicators of selected countries. An examination of the level of globalization as a quantitative marker was enabled by the KOF Index of Globalization, which provides an indication of the economic, political and social globalization at global level. Research methods included time series analysis, trend analysis and nonparametric regression model (regression of panel data).

scholarly journals Valor bursátil de los bancos europeos: Determinantes económico-financieros y de gobierno corporativo

2020 ◽  
Vol 32 (2) ◽  
pp. 677
Author(s):  
Iván Muñoz Jiménez ◽  
José Miguel Rodríguez Fernández
Keyword(s):  
Corporate Governance ◽  
Panel Data ◽  
Empirical Study ◽  
Capital Structure ◽  
Positive Impact ◽  
Market Value ◽  
Econometric Models ◽  
Banking Institutions ◽  
European Banks ◽  
Asset Quality

The objective of this empirical study is to investigate the influence of the economic, financial and corporate governance characteristics on stock market value of a sample of European banks in recent years. To this end, several theoretical hypotheses are tested by various estimates econometric models with different specific techniques for panel data, considering as dependent variable Tobin's Q ratio. It detects that there is a positive impact of good asset quality, adequate capital structure, operational efficiency, liquidity and corporate governance of banking institutions.

scholarly journals The Impact of Macroeconomic Conditions on the Instability and Long-Run Inequality of Workers’ Earnings in Canada

2005 ◽  
Vol 60 (2) ◽  
pp. 244-272 ◽  
Author(s):  
Charles M. Beach ◽  
Ross Finnie ◽  
David Gray
Keyword(s):  
Growth Rate ◽  
Unemployment Rate ◽  
Earnings Inequality ◽  
Gdp Growth ◽  
Macroeconomic Conditions ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Earnings Instability ◽  
Rate Effects ◽  
The Impact

This paper examines the variability of workers’ earnings in Canada over the period 1982‑1997. Using a large panel of tax file data, we decompose total variation in earnings across workers and time into a long-run inequality component between workers and an average earnings instability component over time for workers. We find an increase in earnings variability between 1982‑89 and 1990‑97 that is largely confined to men and largely driven by widening long-run earnings inequality. Second, the pattern of unemployment rate and GDP growth rate effects on these variance components is not consistent with conventional explanations and is suggestive of an alternative paradigm of how economic growth over this period widens long-run earnings inequality. Third, when unemployment rate and GDP growth rate effects are considered jointly, macroeconomic improvement is found to reduce the overall variability of earnings as the reduction in earnings instability outweighs the widening of long-run earnings inequality.

Impact of Competition on Social Performance of MFIs: Comparative Analysis of India and Bangladesh

2019 ◽  
Vol 24 (2) ◽  
pp. 160-170
Author(s):  
Joyeeta Deb
Keyword(s):  
Panel Data ◽  
Social Performance ◽  
Microfinance Institutions ◽  
Loan Repayment ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Social ◽  
Determining Factors ◽  
Loan Quality ◽  
The Impact

Although studies encompassing the different aspect of microfinance like sustainability of microfinance institutions (MFIs), role of microfinance in poverty alleviation, etc., have enriched the literature from time to time, studies on competition and its impact on social performance of MFIs are scarce. There also exists lacking consensus as to how can competition influence MFIs’ social performance. The empirical evidence reveals duality of opinion. With information asymmetry, competition enhances borrowers’ indebtedness and lowers expected loan repayment and impeding loan quality. Furthermore, in order to overcome these problems, MFIs would engage in more screening that raises their operational costs. This encumbers the sustainability of MFIs. Thus, the socially oriented MFIs, in order to remain sustainable, start targeting the less poor borrowers. But the other view holds that as competition intensifies, it provokes the MFIs to remain committed with the social objective and to strive to retain the clients. The theory on impact of competition on the social performance of MFIs may be either positive or negative, which calls for further investigation. Against this backdrop, this article attempts to assess the impact of competition on social performance of MFIs in India and Bangladesh. The study is conducted over 53 MFIs from India and 20 MFIs from Bangladesh on which a complete set of data is available. The study period is confined to 9 years from 2009 to 2017. In order to establish the association between competition and MFIs’ social performance, panel data regression is used. The study takes into account the depth and breadth of outreach as the dependent variable. The study uses panel data regression to establish the association between competition and social performance of MFIs. The empirical analysis reveals that competition has no significant association with any of the measures of social performance. This implies that social performance in the sector is explained by other factors. Amongst the country-specific variables, it is clear from analyses that gross domestic product (GDP) and inflation are important determining factors of MFIs’ social performance. Country of origin (COO) of the MFIs is one of the determining factors for social performance as it is found to be significant for three out of the four models. It is also evident from the analyses that Bangladeshi MFIs have a greater impact on MFIs’ social performance in terms of outreach in comparison to Indian MFIs. While for percentage of female borrowers (PFB), Indian MFIs account for greater depth of outreach in comparison to Bangladesh.

How corruption affects loan portfolio quality in emerging markets?

2016 ◽  
Vol 23 (4) ◽  
pp. 769-785 ◽  
Author(s):  
Khemaies Bougatef
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Emerging Market ◽  
Emerging Market Economies ◽  
Loan Portfolio ◽  
Data Set ◽  
Content Type ◽  
Market Economies ◽  
Asset Quality ◽  
The Impact

Purpose The purpose of this paper is to empirically investigate the impact of corruption on the asset quality of banks operating in emerging market economies over the period 2008-2012. This issue is of crucial importance given the role of banking systems in economic development and the worldwide spread of corruption. Using panel data set of 22 countries, our findings provide a strong and robust support to the hypothesis according to which corruption aggravates the problem with non-performing loans. This evidence suggests that corruption may hinder economic development through the misallocation of loanable funds. Other results are as follows: economic expansion and capitalization level improve the loan portfolio quality. By contrast, unemployment deteriorates the debt servicing capacity of borrower which in turn contributes to lower the bank asset quality. Design/methodology/approach The authors use panel data techniques on a sample of 22 emerging market economies over the period 2008-2012 to test the relevance of corrupt practices on the soundness of banks. Findings Their findings reveal a robust positive relationship between corruption and non-performing loans (NPLs). This evidence corroborates previous results on the detrimental effect of corrupt practices on financial development. The subdivision of our main sample into two groups on the basis of the level of corruption reveals the importance of the effectiveness of collateral and bankruptcy laws in reducing the effect of corruption on loan portfolio. Moreover, we find that the accessibility to more credit information is helpful only in low corrupt countries since it enhances the soundness of banks by facilitating lending decisions. Originality/value The novelty of this paper is to take into consideration the implications of corruption in investigating the determinants of credit risk.

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