Analysis of relationship models between the macroeconomic indicators and Non-performing loans in the Commercial banks of Cyprus

Tatjana Ptasica
{"title":"Analysis of relationship models between the macroeconomic indicators and Non-performing loans in the Commercial banks of Cyprus","authors":"Tatjana Ptasica","doi":"10.2991/ISPCBC-19.2019.11","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to determine and analyze the impact of the macroeconomic indicators on the Level of Non-performing loans (NPLs) in the Commercial banks of Cyprus, as well as determine the magnitude and nature of relationship between them. The object of this study shall be the Commercial banks of Cyprus. The paper reviews the impact of the macroeconomic changes on the Level of Non-performing loans in the Commercial banks of Cyprus between 2000 and 2018Q4. The macroeconomic indicators studied include: Gross Domestic Product at market prices Real GDP (GDP), Unemployment (UNEMP) and Inflation ratesHarmonized Index of Consumer Prices (HICP). The methodology of the study is based on theoretical and methodological analyses of scientific literature, statistical and econometric methods, as well as on observations, comparative method, description, measurements, analysis, modelling and forecasting. In order to develop the statistical models, representing the relationship between macroeconomic indicators and NPLs in Cyprus, the author is using a Simple linear correlation and such data analysis methods as Coefficient of correlation and Coefficient of determination. For creation of short-term forecast of NPLs in Cyprus between 2019 and 2022, the author has used a Simple linear regression. The results of this study show that the obtained Linear model of relationship between the UNEMP and NPLs is near perfect. Thus, this linear model is used by the author for the preparation of a short-term forecast. In turn, the Linear model of relationship between the HICP and NPLs is describing mentioned data and the studies confirm that a statistically significant linear dependency exists between UNEMP and HICP and NPLs in Cyprus. In addition, the obtained Linear model of relationship between GDP and NPLs does not describe mentioned data (no linear relationship or weak relationship) and the studies confirm that there is not enough evidence to prove that a statistically significant linear dependency exists between GDP and NPLs in Cyprus. In general, the author proposes that the people formulating policies in the country should pay special attention to the determinants of NPLs, since the deteriorating conditions of NPLs will affect both individual lenders and their ability to timely repay the loans, and also the banking establishments and the general financial system of Cyprus. The practical significance of the studies carried out in the scope of the paper is in the fact that the obtained results of the studies may be used as an informative material for the government, business and educational purposes. Keywords—non-Performing Loans, Commercial Banks, GDP, Unemployment Rate, Inflation Rate, Coefficient of Correlation, Coefficient of Determination","PeriodicalId":374999,"journal":{"name":"Proceedings of the International Scientific-Practical Conference “Business Cooperation as a Resource of Sustainable Economic Development and Investment Attraction” (ISPCBC 2019)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Scientific-Practical Conference “Business Cooperation as a Resource of Sustainable Economic Development and Investment Attraction” (ISPCBC 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ISPCBC-19.2019.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The purpose of this paper is to determine and analyze the impact of the macroeconomic indicators on the Level of Non-performing loans (NPLs) in the Commercial banks of Cyprus, as well as determine the magnitude and nature of relationship between them. The object of this study shall be the Commercial banks of Cyprus. The paper reviews the impact of the macroeconomic changes on the Level of Non-performing loans in the Commercial banks of Cyprus between 2000 and 2018Q4. The macroeconomic indicators studied include: Gross Domestic Product at market prices Real GDP (GDP), Unemployment (UNEMP) and Inflation ratesHarmonized Index of Consumer Prices (HICP). The methodology of the study is based on theoretical and methodological analyses of scientific literature, statistical and econometric methods, as well as on observations, comparative method, description, measurements, analysis, modelling and forecasting. In order to develop the statistical models, representing the relationship between macroeconomic indicators and NPLs in Cyprus, the author is using a Simple linear correlation and such data analysis methods as Coefficient of correlation and Coefficient of determination. For creation of short-term forecast of NPLs in Cyprus between 2019 and 2022, the author has used a Simple linear regression. The results of this study show that the obtained Linear model of relationship between the UNEMP and NPLs is near perfect. Thus, this linear model is used by the author for the preparation of a short-term forecast. In turn, the Linear model of relationship between the HICP and NPLs is describing mentioned data and the studies confirm that a statistically significant linear dependency exists between UNEMP and HICP and NPLs in Cyprus. In addition, the obtained Linear model of relationship between GDP and NPLs does not describe mentioned data (no linear relationship or weak relationship) and the studies confirm that there is not enough evidence to prove that a statistically significant linear dependency exists between GDP and NPLs in Cyprus. In general, the author proposes that the people formulating policies in the country should pay special attention to the determinants of NPLs, since the deteriorating conditions of NPLs will affect both individual lenders and their ability to timely repay the loans, and also the banking establishments and the general financial system of Cyprus. The practical significance of the studies carried out in the scope of the paper is in the fact that the obtained results of the studies may be used as an informative material for the government, business and educational purposes. Keywords—non-Performing Loans, Commercial Banks, GDP, Unemployment Rate, Inflation Rate, Coefficient of Correlation, Coefficient of Determination
塞浦路斯商业银行宏观经济指标与不良贷款关系模型分析
本文的目的是确定和分析宏观经济指标对塞浦路斯商业银行不良贷款(NPLs)水平的影响,以及确定它们之间关系的大小和性质。本研究的对象应为塞浦路斯的商业银行。本文回顾了宏观经济变化对2000年至2018年第四季度塞浦路斯商业银行不良贷款水平的影响。所研究的宏观经济指标包括:按市场价格计算的国内生产总值、实际国内生产总值(GDP)、失业率(UNEMP)和通货膨胀率、消费者价格协调指数(HICP)。这项研究的方法基于对科学文献、统计和计量经济学方法的理论和方法分析,以及观察、比较方法、描述、测量、分析、建模和预测。为了建立代表塞浦路斯宏观经济指标与不良贷款关系的统计模型,作者使用了简单线性相关以及相关系数和决定系数等数据分析方法。为了创建2019年至2022年塞浦路斯不良贷款的短期预测,作者使用了简单线性回归。研究结果表明,所得的UNEMP与不良贷款关系的线性模型接近完美。因此,这个线性模型被作者用于准备短期预测。反过来,HICP与不良贷款之间关系的线性模型描述了上述数据,研究证实,塞浦路斯的联合国环境规划署与HICP和不良贷款之间存在统计学上显著的线性依赖关系。此外,所获得的GDP和不良贷款之间关系的线性模型没有描述上述数据(没有线性关系或弱关系),研究证实,没有足够的证据证明塞浦路斯的GDP和不良贷款之间存在统计学上显著的线性依赖关系。总的来说,作者建议,在该国制定政策的人应特别注意不良贷款的决定因素,因为不良贷款状况的恶化将影响个人贷款人及其及时偿还贷款的能力,也将影响塞浦路斯的银行机构和一般金融体系。在本文范围内进行的研究的实际意义在于,所获得的研究结果可作为政府、商业和教育目的的信息材料。关键词:不良贷款,商业银行,GDP,失业率,通胀率,相关系数,决定系数
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信