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Interconnectedness and systemic risk: A comparative study based on systemically important regions

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  • Fang, Lei
  • Cheng, Jiang
  • Su, Fang

Abstract

We apply a novel technique to identify systemically important regions (SIRs) in a global network that shows a reduced degree of concentration and the development of a multi-centered structure. We observe that when a region is more connected to other regions, it is exposed to a higher level of systemic risk. This condition holds even more strongly for non-systemically important regions. However, for SIRs, interconnectedness is not significantly associated with systemic risk. Our empirical evidence suggests that an increase in interconnectedness at the regional level, together with a decrease in interconnectedness for a single pivotal center, may reduce the aggregate systemic risk at the global level.

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  • Fang, Lei & Cheng, Jiang & Su, Fang, 2019. "Interconnectedness and systemic risk: A comparative study based on systemically important regions," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 147-158.
    • Handle: RePEc:eee:pacfin:v:54:y:2019:i:c:p:147-158
    DOI: 10.1016/j.pacfin.2019.02.007
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    2. Zhang, Weiping & Zhuang, Xintian & Wang, Jian & Lu, Yang, 2020. "Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Foglia, Matteo & Addi, Abdelhamid & Wang, Gang-Jin & Angelini, Eliana, 2022. "Bearish Vs Bullish risk network: A Eurozone financial system analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    4. Fan, Xiaoyun & Wang, Yedong & Wang, Daoping, 2021. "Network connectedness and China's systemic financial risk contagion——An analysis based on big data," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

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