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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Pathways towards instability in financial networks.

Marco Bardoscia1,2, Stefano Battiston1, Fabio Caccioli3,4

  • 1Department of Banking and Finance, University of Zurich, 8032 Zurich, Switzerland.

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|February 22, 2017
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Summary
This summary is machine-generated.

Market integration and diversification, thought to stabilize financial systems, can paradoxically increase instability. Network topology reveals cyclical structures that amplify financial distress, increasing crisis likelihood.

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Area of Science:

  • Economics
  • Network Science
  • Financial Stability

Background:

  • Financial crises share network structure similarities with ecosystem instability.
  • Network topology's role in financial system instability is not fully understood.
  • Existing models often focus on institutional interactions over network features.

Purpose of the Study:

  • To investigate how network topology influences financial system instability.
  • To determine if market integration and diversification impact systemic stability.
  • To develop a general understanding of network-driven financial instability.

Main Methods:

  • Network analysis of financial systems.
  • Modeling the spread of financial distress.
  • Abstracting interaction details to focus on topology.

Main Results:

  • Market integration and diversification can create cyclical structures.
  • These cyclical structures amplify financial distress.
  • Instability arises from network topology, independent of interaction specifics.

Conclusions:

  • Processes intended to stabilize can inadvertently increase systemic risk.
  • Network topology is a critical factor in financial stability.
  • Policy analysis can abstract network features for broader insights.