Sustainable Visual Analysis for Bank Non-Performing Loans and Government Debt Distress

被引:2
|
作者
Liu, Li [1 ]
Liu, Yumin [1 ]
Kim, Jong-Min [2 ]
机构
[1] Zhengzhou Univ, Business Sch, Zhengzhou 450001, Peoples R China
[2] Univ Minnesota, Div Sci & Math, Morris, MN 56267 USA
基金
中国国家自然科学基金;
关键词
visualization; bank non-performing loans; government debt; PCA; FPCA; biclustering; H63; G23; SYSTEMIC RISK; PCA; DETERMINANTS; EXPOSURE; TIME;
D O I
10.3390/su12010131
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This article visualizes bank non-performing loans (NPLs) and government debt distress data integration and an outcome classification after the outbreak of European sovereign debt. Linear and functional principal component analysis (FPCA) and biclustering are used to show the clustering pattern of NPLs and government debt for 25 EU and BRICS countries (Brazil, Russia, India, China and South Africa) during the period of 2006 to 2017 through high-dimensional visualizations. The results demonstrate that the government debt markets of EU countries experienced a similar trend in terms of NPLs, with a similar size of NPLs across debt markets. Through visualization, we find that the government debt and NPLs of EU and BRICS countries increased drastically after the crisis, and crisis countries are contagious. However, the impact of the Greek debt crisis is lower for non-crisis countries, because the debt markets of these countries are decoupled from the Greek market. We also find that sovereign debtors in the EU countries have much closer fiscal linkages than BRICS countries. The level of crisis in the EU countries will be higher than that in the BRICS countries if crisis is driven by the common shocks of macroeconomic fundamentals.
引用
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页数:21
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