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Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S

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  • Li, Jianping
  • Li, Jingyu
  • Zhu, Xiaoqian
  • Yao, Yinhong
  • Casu, Barbara

Abstract

In this paper, we propose a novel approach to examine the risk spillovers between FinTech firms and traditional financial institutions, during a time of fast technological advances. Based on the stock returns of U.S. financial and FinTech institutions, we estimate pairwise risk spillovers by using the Granger causality test across quantiles. We consider the whole distribution: the left tail (bearish case), the right tail (bullish case) and the center of the distribution and construct three types of spillover networks (downside-to-downside, upside-to-upside, and center-to-center) and obtain network-based spillover indicators. We find that linkages in the network are stronger in the bearish case when the risk of spillover is higher. FinTech institutions' risk spillover to financial institutions positively correlates with financial institutions' increase in systemic risk. These results have important policy implications, as they underscore the importance of enhancing the supervision and regulation of FinTech companies, to maintain financial stability.

Suggested Citation

  • Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:finana:v:71:y:2020:i:c:s1057521920301885
    DOI: 10.1016/j.irfa.2020.101544
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    More about this item

    Keywords

    Financial technology (FinTech); Financial risk; Risk spillover; Systemic risk; Financial stability;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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