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Vulnerability Analysis Method Based on Network and Copula Entropy.

Mengyuan Chen1, Jilan Liu1, Ning Zhang1,2

  • 1School of Finance, Central University of Finance and Economics, Beijing 102206, China.

Entropy (Basel, Switzerland)
|March 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new metric, Copula entropy-based (CE-based) network curvature, to measure financial vulnerability and systematic risk. This innovative approach offers significant advantages over previous methods for assessing financial security in complex financial systems.

Keywords:
copula entropygraph theory and network analysismarket vulnerability

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Area of Science:

  • Financial economics
  • Network science
  • Quantitative finance

Background:

  • Financial systems are increasingly diversified and open.
  • Financial vulnerability is a key indicator of financial security.
  • Existing methods for measuring financial vulnerability have limitations.

Purpose of the Study:

  • To introduce an innovative metric for financial vulnerability.
  • To enhance network analysis with Copula entropy.
  • To measure market vulnerability and systematic risk more effectively.

Main Methods:

  • Network analysis
  • Copula entropy
  • Development of a CE-based network curvature indicator.

Main Results:

  • The CE-based curvature is a novel metric for financial vulnerability.
  • This method offers significant advantages over traditional network curvature analysis.
  • The indicator effectively measures market vulnerability and systematic risk.

Conclusions:

  • The CE-based network curvature provides a superior method for assessing financial vulnerability.
  • This approach enhances the measurement of financial security and systematic risk.
  • The findings are crucial for understanding and managing risks in modern financial systems.