European Banking Union structures and dynamics

This article begins with an analysis of banking flows in the euro zone, through a complex network, from 2006 to 2020. This analysis allows us to observe the topology of the network through different phases of the business cycle. It is obtained that there is greater fragmentation in the network that...

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Bibliographic Details
Published in:Cogent economics & finance 2023-10, Vol.11 (2), p.1-30
Main Author: Fernández Fernández, José Alejandro
Format: Article
Language:English
Subjects:
bank flows
bank integration
Banking industry
Business cycles
complex network
Eurozone
G01
G15
Machine learning
Productivity
Segmentation
Solvency
systemic risk
Topology
Turning points
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Summary:This article begins with an analysis of banking flows in the euro zone, through a complex network, from 2006 to 2020. This analysis allows us to observe the topology of the network through different phases of the business cycle. It is obtained that there is greater fragmentation in the network that increases in three stages, with turning points in crises. In turn, the topological structure is less random and presents more capitalized subnetworks with less risk. As for the nodes of the network, Germany gives up the position of centrality in favor of France. The determinants of the links in the network are analyzed with Machine Learning, obtaining as push and pull bank variables solvency and bank income structure, respectively, and productivity as economic variable.
ISSN:2332-2039
2332-2039
DOI:10.1080/23322039.2023.2256192