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Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective

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  • Wen, Shigang
  • Li, Jianping
  • Huang, Chuangxia
  • Zhu, Xiaoqian

Abstract

This paper investigates the extreme risk spillovers among U.S. traditional financial and FinTech institutions by applying complex network analysis methods. Dynamic extreme risk spillover networks are constructed by the approach of GARCH-Copula-CoVaR among 91 public companies for the period from January 2011 to August 2020. Empirical analyses on the topological structure of extreme risk spillover networks show that: (i) there is a sharp increase of global efficiency prior to and during the financial crisis, and a rapid decrease afterward. (ii) compared with other sectors, the insurance sector has higher scores of sector risk spillover indices in crisis periods, whereas the FinTech sector has higher scores of sector risk spillover indices in common periods, implying that these two sectors are important recipients of extreme risk spillovers. (iii) the rankings of centrality measures reveal that large diversified financials are influential senders of extreme risk spillovers, and banking institutions play crucial roles in transmitting extreme risks.

Suggested Citation

  • Wen, Shigang & Li, Jianping & Huang, Chuangxia & Zhu, Xiaoqian, 2023. "Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 190-202.
    • Handle: RePEc:eee:quaeco:v:88:y:2023:i:c:p:190-202
    DOI: 10.1016/j.qref.2023.01.005
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    3. Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).

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