{"title":"Macroeconomic Determinants of Credit Risk on the Example of Non-performing Loans","authors":"Adam Zawadzki","doi":"10.2478/ceej-2023-0016","DOIUrl":null,"url":null,"abstract":"Abstract The primary goal of this article is to examine the principal macroeconomic factors influencing credit risk as assessed by the nonperforming loan ratio (hereinafter NPL ratio). Based on the results, the ratio of domestic credit to the private sector, Organization for Economic Cooperation and Development (OECD) membership with a negative correlation with NPLs while the unemployment rate and the ratio of public debt with a positive relation with NPLs were statistically significant. In addition, the correlation between the inflation rate and the depreciation of the home currency was proven. The research examines the effects of the 2008 credit crunch, which triggered the financial crisis. The sample comprises 106 countries for the period 2009–2019. The real GDP growth, unemployment rate, public debt ratio, domestic credit to private sector ratio, currency depreciation, inflation rate, and interest rate were analysed as macroeconomic factors. A dummy variable representing OECD membership has been included in the analysis. The estimations were performed using the ordinary least squares (OLS) method. This article contributes to the academic discourse on the panel data perspective with regard to non-performing loans, while the practical implications are beneficial for governments and international investors.","PeriodicalId":9951,"journal":{"name":"Central European Journal of Economic Modelling and Econometrics","volume":"72 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Economic Modelling and Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ceej-2023-0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract The primary goal of this article is to examine the principal macroeconomic factors influencing credit risk as assessed by the nonperforming loan ratio (hereinafter NPL ratio). Based on the results, the ratio of domestic credit to the private sector, Organization for Economic Cooperation and Development (OECD) membership with a negative correlation with NPLs while the unemployment rate and the ratio of public debt with a positive relation with NPLs were statistically significant. In addition, the correlation between the inflation rate and the depreciation of the home currency was proven. The research examines the effects of the 2008 credit crunch, which triggered the financial crisis. The sample comprises 106 countries for the period 2009–2019. The real GDP growth, unemployment rate, public debt ratio, domestic credit to private sector ratio, currency depreciation, inflation rate, and interest rate were analysed as macroeconomic factors. A dummy variable representing OECD membership has been included in the analysis. The estimations were performed using the ordinary least squares (OLS) method. This article contributes to the academic discourse on the panel data perspective with regard to non-performing loans, while the practical implications are beneficial for governments and international investors.
期刊介绍:
The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.