Dergiler / Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2026 / Cilt: 35

SİLİKON VADİSİ BANKASI'NIN İFLASININ ÖNGÖRÜLEBİLİRLİĞİ: CAMELS DERECELENDİRME SİSTEMİ İLE ANALİZİ

THE PREDICTABILITY OF SILICON VALLEY BANK'S BANKRUPTCY: AN ANALYSIS USING THE CAMELS RATING SYSTEM

İnci Merve Altan(BANDIRMA ONYEDİ EYLÜL ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ FAKÜLTESİ)0000-0002-6269-7726
Sayfa
—
Yayın Tarihi
2026-04-09
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Bulgular, sermaye yeterliliği, varlık kalitesi, yönetim verimliliği, karlılık ve likiditede önemli zayıflıkları ortaya koymaktadır.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Silikon Vadisi Bankası'nın iflası, ABD bankacılık sektöründeki kırılganlıkları ortaya çıkararak küresel finans piyasalarında kritik bir dönüm noktası oluşturmuştur.
📊
Temel Bulgular & Veri:Silikon Vadisi Bankası’nın iflasından önceki son dört döneme ait yıllık raporları kullanılarak CAMELS derecelendirme yöntemine dayalı finansal oranlar hesaplanmış ve ABD bankacılık sektörü ortalamalarıyla karşılaştırılmıştır.
💡
Sonuç & Katkı:Bulgular, sermaye yeterliliği, varlık kalitesi, yönetim verimliliği, karlılık ve likiditede önemli zayıflıkları ortaya koymaktadır.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Silikon vadisi bankası çöküşü · İflas · Erken uyarı sistemi

Özet

Silikon Vadisi Bankası'nın iflası, ABD bankacılık sektöründeki kırılganlıkları ortaya çıkararak küresel finans piyasalarında kritik bir dönüm noktası oluşturmuştur. Bu çalışma, Silikon Vadisi Bankası'nın iflasının nedenlerini araştırmakta ve banka iflasları için erken uyarı politikaları önermeyi amaçlamaktadır. Silikon Vadisi Bankası’nın iflasından önceki son dört döneme ait yıllık raporları kullanılarak CAMELS derecelendirme yöntemine dayalı finansal oranlar hesaplanmış ve ABD bankacılık sektörü ortalamalarıyla karşılaştırılmıştır. Bulgular, sermaye yeterliliği, varlık kalitesi, yönetim verimliliği, karlılık ve likiditede önemli zayıflıkları ortaya koymaktadır. Yükselen faiz oranları ortamında yetersiz risk yönetimi, ekonomik dalgalanmalara son derece duyarlı bir iş modeliyle birleşerek bankanın başarısızlığında belirleyici rol oynamıştır. Sonuçlar, faiz oranı oynaklığının ve sektöre özgü şokların etkilerini azaltmak için daha güçlü likidite yönetimine, daha sağlam risk değerlendirme yöntemlerine ve çeşitlendirilmiş sektörel dağılıma, ayrıca etkili erken uyarı mekanizmalarının geliştirilmesine duyulan ihtiyacı vurgulamaktadır.

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.

🔖

Bu Makaleye Atıf Yap

Altan, İ. M. (2026). SİLİKON VADİSİ BANKASI'NIN İFLASININ ÖNGÖRÜLEBİLİRLİĞİ: CAMELS DERECELENDİRME SİSTEMİ İLE ANALİZİ. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 35. https://doi.org/10.35379/cusosbil.1635887

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (54)

  1. Akbalık, M., & Sırma, İ. (2014). Foreign bank efficiency in Turkey: An application of data envelopment analysis. The Journal of Financial Research and Studies, 4(8), 1-16. https://izlik.org/JA92GH95AE
  2. Akhtar, S., Azmi, S. N., Khan, P. A., Jan, A. A., & Ansari, Z. (2024). Unveiling the financial landscape: Analyzing profitability, productivity, and efficiency of banks in an emerging economy using the CAMELS framework and panel analysis. Cogent Business & Management, 11(1), 2399747. https://doi.org/10.1080/23311975.2024.2399747
  3. Al-Sowaidi, A.S., & Faour, A.M.W. (2023). Causes and consequences of the Silicon Valley Bank collapse: examining the interplay between management missteps and the federal reserve's floundering decisions. Journal of world economic research, 12(1), 38-46. https://doi.org/10.11648/j.jwer.20231201.15
  4. Aranca, (2023). Loans to deposits ratio: Public listed US Banks. https://www.aranca.com/data_insight/pdf/Data-Insights-Report-Loans-to-Deposits-Ratio-Public-Listed-Banks.pdf, (12.06.2024).
  5. Baba, N., & Packer, F. (2009). From turmoil to crisis: Dislocations in the FX swap market before and after the failure of Lehman Brothers, Journal of International Money and Finance, 28(8), 1350-1374. https://doi.org/10.1016/j.jimonfin.2009.08.003
  6. Bauer, P.W., Berger, A.N., Ferrier, G.D., & Humphrey, D.B. (1998). Consistency conditions for regulatory analysis of financial institutions: A comparison of frontier efficiency methods, Journal of economics and business, 50, 85–114. https://doi.org/10.1016/S0148-6195(97)00072-6
  7. Bayramoğlu, M.F., & Gürsoy, İ. (2017). Individual and sectoral risk ratings of deposit banks in Turkey: An application of CAMELS analysis. Journal of Management & Economics Research, 15(1), 1-19. https://doi.org/10.11611/yead.295155
  8. Becchetti, L., & Ciciretti, R. (2011). Stock market reaction to the global financial crisis: testing for the Lehman Brothers' event. Giornale degli Economisti e Annali di Economia, 70(2), 3-58. https://www.jstor.org/stable/23248340
  9. Bektaş, H. (2013). Efficiency analysis in the Turkish banking sector. Sosyoekonomi, 19(19), 277-294.
  10. Bhatti, M. A., Sadiq, M., Albarq, A. N., & Juhari, A. S. (2022). Risk management and financial performance of banks: An application of CAMEL framework. Cuadernos de Economía, 45(128), 113-123.
  11. Broz, L. (1997). The international origins of the Federal Reserve System. Cornell University Press.
  12. Choe, S. (2023). Deal to buy Silicon Valley Bank calms bank fears, for now. The Associated Press, 27 March. https://apnews.com/article/svb-banks-fdic-first-citizen-silicon-f6958f1fa87b0991cb525b0424c7a1cd
  13. Chortareas, G. E., Girardone, C., & Ventouri, A. (2013). Financial freedom and bank efficiency: Evidence from the European Union. Journal of Banking & Finance, 37(4), 1223-1231. https://doi.org/10.1016/j.jbankfin.2012.11.015
  14. Christopoulos, A. G., Mylonakis, J., & Diktapanidis, P. (2011). Could Lehman Brothers' collapse be anticipated? An examination using CAMELS rating system. International Business Research, 4(2), 11-19. https://doi.org/10.5539/ibr.v4n2p11
  15. Ciuriak, D. (2023). The Silicon Valley Bank Failure: Historical perspectives and knock-on risks (May 15, 2023). SSRN. http://dx.doi.org/10.2139/ssrn.4392931
  16. Cox, D., & Cox, M. (2006). The mathematics of banking and finance. John Wiley & Sons, Ltd.
  17. Çinko, M., & Avcı, E. (2008). CAMELS rating system and forecasting the financial failure in the Turkish commercial banking sector. BRSA Banking and Financial Markets Journal, 2(2), 25-48. https://dergipark.org.tr/tr/pub/bddkdergisi/issue/57364/812733
  18. Desta, T. S. (2016). Financial performance of “the best African banks”: A comparative analysis through CAMEL rating. Journal of Accounting and Management, 6(1), 1-20.
  19. Doumpos, M., & Zopounidis, C. (2009). A multicriteria bank rating system. European Working Group “Multiple Criteria Decision Aiding” Series, 3(19), 17-19.
  20. FDIC. (2022). Quarterly banking profile: First quarter 2022. https://www.fdic.gov/analysis/quarterly-banking-profile/qbp/2022mar/qbp.pdf
  21. FDIC. (2024). Quarterly banking profile. https://www.fdic.gov/quarterly-banking-profile
  22. Federal Reserve. (2022). Supervision and regulation report. https://www.federalreserve.gov/publications/2022-november-supervision-and-regulation-report-banking-system-conditions.htm
  23. Federico, D., Napoli, F., & Notte, A. (2024). An overview on Silicon Valley Bank failure in Europe: Causes and effects. Contemporary Research in Business, Management and Economics, 5, 63-79. https://doi.org/10.9734/bpi/crbme/v5/7594B
  24. FRED. (2024). https://fred.stlouisfed.org/seriesBeta/DDSI05USA156NWDB
  25. Galati, L., & Capalbo, F. (2024). Silicon Valley Bank bankruptcy and stablecoins stability. International Review of Financial Analysis, 91, 103001. https://doi.org/10.1016/j.irfa.2023.103001
  26. Ganesh, B., & Sreeramulu, D. (2024). Evaluation of the financial performance of public and private sector banks: CAMELS principles. International Journal of Management Research and Review, 14(6), 24-45. https://ijmrr.com/index.php/ijmrr/article/view/262/243
  27. Guan, F., Liu, C., Xie, F., & Chen, H. (2019). Evaluation of the competitiveness of China’s commercial banks based on the G-CAMELS evaluation system, Sustainability, 11(6), 1791. https://doi.org/10.3390/su11061791
  28. Haas, R. D., & Horen, N. V. (2012). International shock transmission after the Lehman Brothers collapse: Evidence from syndicated lending. American Economic Review, 102(3), 231-237. https://doi.org/10.1257/aer.102.3.231
  29. Hafer, R.W. (2005). The Federal Reserve System: An encyclopedia. Bloomsbury Publishing.
  30. Hsiao, H. C., Chang, H., Cianci, A. M., & Huang, L. H. (2010). First financial restructuring and operating efficiency: Evidence from Taiwanese commercial banks. Journal of Banking & Finance, 34(7), 1461-1471. https://doi.org/10.1016/j.jbankfin.2010.01.013
  31. IMF. (2008). Market and funding illiquidity: when private risk becomes public, Global Financial Stability Report (April), International Monetary Fund (IMF), 86–117.
  32. Jaradat, H. M., & Khaliq, S. Y. A. (2022). Measuring financial performance based on CAMEL rating model on selected commercial banks in Jordan. Journal of Accounting, Finance & Management Strategy, 17(2), 159-176.
  33. Jiang, E. X., Matvos, G., Piskorski, T., & Seru, A. (2023). Monetary tightening and U.S. bank fragility in 2023: mark-to-market losses and uninsured depositor runs?” NBER Working Paper 31048, April. https://www.nber.org/papers/w31048
  34. Jin, C., & Tian, X. (2024). Enhanced safe-haven status of bitcoin: Evidence from the Silicon Valley Bank collapse. Finance Research Letters. 59, 104689. https://doi.org/10.1016/j.frl.2023.104689
  35. Johnson, M. A., & Mamun, A. (2012). The failure of Lehman Brothers and its impact on other financial institutions. Applied Financial Economics, 22(5), 375-385. https://doi.org/10.1080/09603107.2011.613762
  36. Kadhim, Z. Y., & Mohi, M. (2024). Banking crises and the potential use of (CAMELS) model indicators for forecasting them (An empirical study). International Journal of Religion, 5(8), 624-633. https://doi.org/10.61707/5we52k97
  37. Karaçor, Z., Mangır, F., Kodaz, Ş.S & Kartal, M. (2017). CAMELS performance analysis of public and private banks: Sample of Turkey, IGU J. Soc. Sci.,4(2), 47-65. https://doi.org/10.17336/igusbd.320962
  38. Liu, X., Megginson, W., Tran, N., & Wei, S. (2024). Who loses most when big banks suddenly fail? Evidence from Silicon Valley Bank collapse. Finance Research Letters, 59, 104806. https://doi.org/10.1016/j.frl.2023.104806
  39. Metrick, A. (2024). The failure of Silicon Valley Bank and the panic of 2023. Journal of Economic Perspectives, 38(1), 133-152. http://dx.doi.org/10.1257/jep.38.1.133
  40. Nguyen, A. H., Nguyen, H. T., & Pham, H. T. (2020). Applying the CAMEL model to assess performance of commercial banks: Empirical evidence from Vietnam. Banks and Bank Systems, 15(2), 177-186. http://dx.doi.org/10.21511/bbs.15(2).2020.16
  41. Özdemir, K. (2022). Measuring the financial efficiencies of banks issuing integrated reports by data envelopment analysis: The case of Turkey. Journal of Business Research-Turk, 14(3), 1767-1780. https://doi.org/10.20491/isarder.2022.1470
  42. Pereira, D. R. C. (2017). Financial contagion in the BRICS stock markets: An empirical analysis of the Lehman Brothers collapse and European sovereign debt crisis. Master's thesis, Universidade do Minho. https://hdl.handle.net/1822/46517
  43. Qi, S. (2023). Inspiration and lessons learned from the Silicon Valley Bank collapse. Advances in Economics, Management and Political Sciences, 38, 30-34. https://doi.org/10.54254/2754-1169/38/20231880
  44. Sangmi, M., & Nazir, T. (2010). Analyzing financial performance of commercial banks in India: Application of CAMEL model. Pakistan Journal of Commerce and Social Sciences, 4(1), 40-55. http://econstor.eu/handle/10419/187999
  45. Sebastião, O. (2019). Estudo de caso sobre estabilidade bancária angolana: Aplicação do modelo CAMELS. Master's thesis, ISCTE-Instituto Universitario de Lisboa.
  46. Song, L., & Shahbudin, A. S.M. (2023). To anticipate the bankruptcy of Baoshang Bank based on CAMELS rating system. Bank i Kredyt, Narodowy Bank Polski, 54(1), 65-88.
  47. SVB. (2024). Silicon Valley Bank annual reports, https://ir.svb.com/financials/annual-reports-and-proxies/default.aspx
  48. Thomson, J.B. (1991). Predicting bank failures in the 1980s. Federal Reserve Bank of Cleveland Economic Review, 27(Q1), 9–20.
  49. Tunay, K.B. (2024). Systemic banking crises in upper middle income developing economies and Turkey: A comparative econometric analysis. Journal of Banking and Financial Research, 11(1), 1-18. https://doi.org/10.55026/jobaf.1400339
  50. USBANK. (2024). The strength and stability of U.S. bank. https://www.usbank.com/dam/documents/pdf/about-us-bank/company-blog/usbank-strength-stability-fact-Sheet.pdf
  51. Vo, L.V., & Le, H.T.T (2023). From hero to zero: The case of Silicon Valley Bank, Journal of Economics and Business. 127, 106138. https://doi.org/10.1016/j.jeconbus.2023.106138
  52. Wang, H. (2024a). The reason for Silicon Valley Bank collapse and relevant suggestion. Advances in Economics, Management and Political Sciences. 57. https://doi.org/10.54254/2754-1169/57/20230540
  53. Wang, X. (2024b). Silicon Valley Bank collapse: Causes & consequences. Highlights in Business, Economics and Management, 32(2024), 53-57. https://doi.org/10.54097/s3scbn33
  54. Yousaf, I., & Goodell, J. W. (2023). Responses of US equity market sectors to the Silicon Valley Bank implosion. Finance Research Letters, 55, 103934. http://dx.doi.org/10.2139/ssrn.4395623