An Analysis of Residual Financial Contagion in Romania's Banking Market for Mortgage Loans

被引:7
|
作者
Ionescu, Stefan [1 ]
Chirita, Nora [1 ]
Nica, Ionut [1 ]
Delcea, Camelia [1 ]
机构
[1] Bucharest Univ Econ Studies, Dept Econ Informat & Cybernet, Bucharest 0105552, Romania
关键词
financial contagion; mortgage market; machine learning; NetLogo; SOUTH SEA; TECHNOLOGIES; EVACUATION; MODEL;
D O I
10.3390/su151512037
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The uncertainty of the environment, the complexity of economic systems, both at the national and global economy levels, and the digital age and artificial intelligence draw attention to the existence or appearance of systemic, disruptive phenomena that can appear and propagate in different forms, producing effects that can turn into economic crises. These phenomena can be transmitted like a domino effect, and they are referred to as the contagion effect in the scientific literature. In this research, one of the four forms of financial contagion, known as residual contagion, is studied on the mortgage loan market in Romania using agent-based modeling. By considering the economic crisis of 2007-2009, also supported by the mortgage crisis, in the present paper, we aim to study the Romanian mortgage market in 2022 through the use of machine learning techniques and agent-based modeling. The purpose of this research is to capture the potential systemic risks that can outline a residual financial contagion effect. The simulation results highlight the fact that the degree of connectivity between the commercial banks in Romania and the way in which they are interconnected have a major importance in the emergence and propagation of contagion effects. The proposed approach and the obtained results can offer more insight to policymakers on how the contagion effect takes place within the banking sector.
引用
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页数:32
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