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Systemic Importance and Risk Characteristics of Banks Based on a Multi-Layer Financial Network Analysis.

Qianqian Gao1, Hong Fan2, Chengyang Yu2

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Entropy (Basel, Switzerland)
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PubMed
Summary
This summary is machine-generated.

China

Keywords:
PageRank algorithmcentralitynetworkrisk exposuresystemic risk

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Area of Science:

  • Financial economics
  • Network analysis
  • Risk management

Background:

  • Increased demand for systemic risk management in China due to domestic and international shocks.
  • China's financial system comprises banks, assets, and firms, necessitating network analysis.

Purpose of the Study:

  • To estimate China's multi-layer financial network and identify systemically important institutions.
  • To assess the impact of network structure on financial institution importance and conduct stress tests.

Main Methods:

  • Estimation of China's multi-layer financial network using 2021 banking system data.
  • Application of an improved PageRank algorithm to identify systemic importance.
  • Conducting stress tests on the financial network.

Main Results:

  • China's financial network is sparse with uneven transaction distribution.
  • Systemic importance is linked to transaction behavior and market participation.
  • Transaction concentration significantly affects financial institution systemic importance.

Conclusions:

  • The improved PageRank algorithm is effective for systemic risk assessment in China's financial network.
  • Prudential supervision of the banking system is crucial.
  • Regulatory authorities and banks need to adapt strategies for economic recovery and risk management.