Empirical analysis and evaluation of the determinants of credit risk of the EU banking system

Credit risk is one of the most important types of risk for banks, which could be measured by non-performing loans. This dissertation aims to analyses and evaluates the determinants of the credit risk of the EU banking system from 2012 to 2017. The dissertation uses the method of panel data, and the...

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Main Author: FANG, ZHENG
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2019
Subjects:
Online Access:https://eprints.nottingham.ac.uk/57620/
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author FANG, ZHENG
author_facet FANG, ZHENG
author_sort FANG, ZHENG
building Nottingham Research Data Repository
collection Online Access
description Credit risk is one of the most important types of risk for banks, which could be measured by non-performing loans. This dissertation aims to analyses and evaluates the determinants of the credit risk of the EU banking system from 2012 to 2017. The dissertation uses the method of panel data, and the data comes from the database such as the Orbis Global database. The empirical analysis results show that, among the microeconomic variables, the loan loss provisions have a significant positive impact on credit risk. Among macroeconomic variables, the GDP growth rate and the unemployment rate have significant positive influences. When conducting risk regulation, the EU banking system can use these factors as early warning indicators for non-performing loans and take measures before credit risks occur.
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spelling nottingham-576202022-11-30T14:43:06Z https://eprints.nottingham.ac.uk/57620/ Empirical analysis and evaluation of the determinants of credit risk of the EU banking system FANG, ZHENG Credit risk is one of the most important types of risk for banks, which could be measured by non-performing loans. This dissertation aims to analyses and evaluates the determinants of the credit risk of the EU banking system from 2012 to 2017. The dissertation uses the method of panel data, and the data comes from the database such as the Orbis Global database. The empirical analysis results show that, among the microeconomic variables, the loan loss provisions have a significant positive impact on credit risk. Among macroeconomic variables, the GDP growth rate and the unemployment rate have significant positive influences. When conducting risk regulation, the EU banking system can use these factors as early warning indicators for non-performing loans and take measures before credit risks occur. 2019-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/57620/1/ZHENG%20FANG%20%2814339886%29%20Empirical%20analysis%20and%20evaluation%20of%20the%20determinants%20of%20credit%20risk%20of%20the%20EU%20banking%20system.pdf FANG, ZHENG (2019) Empirical analysis and evaluation of the determinants of credit risk of the EU banking system. [Dissertation (University of Nottingham only)] Keywords: Non-performing loans; Panel data; Microeconomic determinants; Macroeconomic determinants
spellingShingle Keywords: Non-performing loans; Panel data; Microeconomic determinants; Macroeconomic determinants
FANG, ZHENG
Empirical analysis and evaluation of the determinants of credit risk of the EU banking system
title Empirical analysis and evaluation of the determinants of credit risk of the EU banking system
title_full Empirical analysis and evaluation of the determinants of credit risk of the EU banking system
title_fullStr Empirical analysis and evaluation of the determinants of credit risk of the EU banking system
title_full_unstemmed Empirical analysis and evaluation of the determinants of credit risk of the EU banking system
title_short Empirical analysis and evaluation of the determinants of credit risk of the EU banking system
title_sort empirical analysis and evaluation of the determinants of credit risk of the eu banking system
topic Keywords: Non-performing loans; Panel data; Microeconomic determinants; Macroeconomic determinants
url https://eprints.nottingham.ac.uk/57620/