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THE PREDICTABILITY OF SILICON VALLEY BANK'S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM
Abstract
The bankruptcy of Silicon Valley Bank marked a critical turning point in global financial markets, exposing vulnerabilities in the US banking sector. This study investigates the causes of Silicon Valley Bank's failure and aims to propose early warning policies for bank failures. Using annual reports from the last four periods before to Silicon Valley Bank's bankruptcy, financial ratios based on the CAMELS rating system were computed and compared with averages for the US banking sector. The findings reveal significant weaknesses in capital adequacy, asset quality, management efficiency, profitability, and liquidity. Inadequate risk management in a rising interest rate environment, combined with a business model highly sensitive to economic fluctuations, played a decisive role in the bank's failure. The results highlight the need for stronger liquidity management, more robust risk assessment methods and diversified sectoral exposure, as well as the development of effective early warning mechanisms to mitigate the effects of interest rate volatility and sector-specific shocks.
Keywords
References
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Details
Primary Language
English
Subjects
Econometrics (Other)
Journal Section
Research Article
Authors
Publication Date
April 9, 2026
Submission Date
February 8, 2025
Acceptance Date
November 3, 2025
Published in Issue
Year 2026 Volume: 35
APA
Altan, İ. M. (2026). THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 35. https://doi.org/10.35379/cusosbil.1635887
AMA
1.Altan İM. THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026;35. doi:10.35379/cusosbil.1635887
Chicago
Altan, İnci Merve. 2026. “THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM”. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 35 (April). https://doi.org/10.35379/cusosbil.1635887.
EndNote
Altan İM (April 1, 2026) THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 35
IEEE
[1]İ. M. Altan, “THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM”, Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, vol. 35, Apr. 2026, doi: 10.35379/cusosbil.1635887.
ISNAD
Altan, İnci Merve. “THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM”. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 35 (April 1, 2026). https://doi.org/10.35379/cusosbil.1635887.
JAMA
1.Altan İM. THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026;35. doi:10.35379/cusosbil.1635887.
MLA
Altan, İnci Merve. “THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM”. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, vol. 35, Apr. 2026, doi:10.35379/cusosbil.1635887.
Vancouver
1.İnci Merve Altan. THE PREDICTABILITY OF SILICON VALLEY BANK’S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026 Apr. 1;35. doi:10.35379/cusosbil.1635887