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Systemic risk in financial institutions: A multiplex network approach

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  • Xie, Yiwei
  • Jiao, Feng
  • Li, Shihan
  • Liu, Qingfu
  • Tse, Yiuman

Abstract

We examine the systemic risk spillovers of Chinese financial institutions using a multiplex network. A multiplex network is based on different dependency measures with dynamic conditional correlations and by a planar maximally filtered graph. We find that more information is included in a multiplex network than in single-layer networks. The systemic importance of institutions varies over time, which would be ignored without consideration of various inter-agent correlations. The results show that an individual institution's contributions to the system significantly diminish as the node strength increases. The greater the closeness centralities of nodes, the more vulnerable the system is to shocks.

Suggested Citation

  • Xie, Yiwei & Jiao, Feng & Li, Shihan & Liu, Qingfu & Tse, Yiuman, 2022. "Systemic risk in financial institutions: A multiplex network approach," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:pacfin:v:73:y:2022:i:c:s0927538x22000476
    DOI: 10.1016/j.pacfin.2022.101752
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    6. Hu, Xin & Zhu, Bo & Zhang, Bokai & Zhou, Sitong, 2024. "Do internal and external risk spillovers of the food system matter for national food security?," Economic Modelling, Elsevier, vol. 136(C).
    7. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Zhu, You & Xie, Chi & Foglia, Matteo, 2023. "Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).

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