Network topology of the Euro Area interbank market

2025-02-21

AI Summary

This study addresses the challenge of identifying systemic risk in the Eurozone interbank market. Methodologically, it constructs, for the first time, a dynamic weighted directed network model grounded in high-frequency transaction data, integrating complex network analysis, multidimensional centrality metrics (betweenness, in-degree, out-degree), robustness simulations, and community detection algorithms to capture the market’s empirical topology. Results reveal that the network exhibits weak connectivity, high clustering, short average path length, and scale-free properties. A small set of core hub banks dominates interbank funding flows; their failure could disrupt over 30% of transaction volume. These findings provide quantifiable, dynamic, network-theoretic foundations for understanding systemic risk propagation pathways, pinpointing structural vulnerabilities, and informing macroprudential regulatory design—thereby advancing both theoretical modeling and policy-relevant systemic risk assessment in financial networks.

Technology Category

• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Reasoning under Uncertainty: Relational Probabilistic Models
• Game Theory and Economic Paradigms: Other Foundations of Game Theory & Economic Paradigms

Application Category

• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Social Networks and Social Media: Social media analysis through the lenses of networks
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Problem

• Analyze Euro Area interbank market topology
• Extract meaningful financial relationship information
• Support holistic financial risk management

Innovation

• Multi-layer network approach
• Euro Area banking system
• Granular data collections