JOURNAL ARTICLE

Silicon Valley Bank: What can be learned from its collapse.

  • Published In: Journal of Risk Management in Financial Institutions, 2024, v. 17, n. 4. P. 357 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Lindo, Steve 3 of 3

Abstract

The article analyzes the collapse of Silicon Valley Bank (SVB) in March 2023, the second-largest bank failure in U.S. history, and its subsequent impact on global banking confidence. Using root cause analysis and key assumptions check methodologies, it identifies SVB executives' disregard for sound risk management, high concentration of uninsured deposits, and inadequate contingency funding as root causes of the failure. The paper also highlights regulatory blind spots, including ineffective supervision by the Federal Reserve Bank of San Francisco and outdated assumptions about depositor behavior and interest rate risks, which contributed to the wider banking sector contagion. It emphasizes that rapid interest rate hikes, digital banking enabling instant large withdrawals, and fragmented U.S. banking regulation exacerbated systemic vulnerabilities. The study concludes that failure to update regulatory assumptions and address known weaknesses led to loss of confidence, necessitating emergency Federal Reserve interventions to stabilize the banking system.

Additional Information

  • Source:Journal of Risk Management in Financial Institutions. 2024/09, Vol. 17, Issue 4, p357
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1752-8887
  • DOI:10.69554/ewsf5663
  • Accession Number:180175742
  • Copyright Statement:Copyright of Journal of Risk Management in Financial Institutions is the property of Henry Stewart Publications LLP and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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