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Impact of the collapse of silicon valley bank on the banking sector: An analysis based on nonlinear high-frequency networks

Author

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  • Chen, Jinyan
  • Nie, Chun-Xiao

Abstract

We analyse the impact of the collapse of Silicon Valley Bank (SVB) on the causal structure using a sequence of high-frequency transfer entropy networks. Calculations show that the event significantly affected the causal structure of the banking sector and that companies with high market capitalisation had stronger influence after the event. Finally, path-based indicators suggest that SVB had significant influence before the crisis.

Suggested Citation

  • Chen, Jinyan & Nie, Chun-Xiao, 2024. "Impact of the collapse of silicon valley bank on the banking sector: An analysis based on nonlinear high-frequency networks," Finance Research Letters, Elsevier, vol. 62(PB).
    • Handle: RePEc:eee:finlet:v:62:y:2024:i:pb:s1544612324002174
    DOI: 10.1016/j.frl.2024.105187
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    More about this item

    Keywords

    Information flow; US market; Banking crisis; Transfer entropy;
    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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