Affiliation:
1. Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 0105552 Bucharest, Romania
Abstract
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.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference108 articles.
1. Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-based Transformation Projects;Wamba;Bus. Process. Manag. J.,2020
2. Yigitcanlar, T., Degirmenci, K., and Inkinen, T. (2022). Drivers behind the public perception of artificial intelligence: Insights from major Australian cities. AI Soc.
3. ITUTrends (2023, February 10). Assessing the Economic Impact of Artificial Intelligence. Available online: https://www.itu.int/dms_pub/itu-s/opb/gen/S-GEN-ISSUEPAPER-2018-1-PDF-E.pdf.
4. McKinsey Company (2023, February 10). Notes from the AI Frontier. Modeling the Impact of AI on the World Economy. Available online: https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Artificial%20Intelligence/Notes%20from%20the%20frontier%20Modeling%20the%20impact%20of%20AI%20on%20the%20world%20economy/MGI-Notes-from-the-AI-frontier-Modeling-the-impact-of-AI-on-the-world-economy-September-2018.ashx.
5. Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems;Moreira;Procedia Comput. Sci.,2022
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