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Basel II and bank bankruptcy analysis

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  • Yung-Ho Chiu
  • Yu-Chuan Chen
  • Yu Han Hung

Abstract

Due to keen competition, banks may increase their market share and profits by imposing price policies, such as raising deposit rates, lowering loan rates, or even worse by loaning to those with high risks, which all could increase the probability of bankruptcy. Under these circumstances, the literature has paid great attention to the topics of bankruptcy and risk management. We adopt a two-stage approach, the Super-SBM and logistic regression, to investigate a bank efficiency index and the bank bankruptcy effect from incorporating capital adequacy regulations and a supervisory review process. This study uses data on 36 Taiwanese commercial banks for the 3-year period from 2002 to 2004. This article's empirical results from the Super-SBM and logistic regression approach are summarized as follows: (1) The efficiency factor is proven to be influential in evaluating bank bankruptcy. (2) If certain prerequisites on capital adequacy are imposed on each bank, then it results in a lower risk to the bank and this reduces bank bankruptcy. (3) Corporate governance plays an important role in bank bankruptcy.

Suggested Citation

  • Yung-Ho Chiu & Yu-Chuan Chen & Yu Han Hung, 2009. "Basel II and bank bankruptcy analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1843-1847.
  • Handle: RePEc:taf:apeclt:v:16:y:2009:i:18:p:1843-1847
    DOI: 10.1080/13504850701704241
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    References listed on IDEAS

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    1. Mian, Shehzad L., 1996. "Evidence on Corporate Hedging Policy," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(3), pages 419-439, September.
    2. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    3. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    4. Frederick M. Richardson & Gregory D. Kane & Patricia Lobingier, 1998. "The Impact of Recession on the Prediction of Corporate Failure," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(1&2), pages 167-186.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    7. Fok, Robert C. W. & Carroll, Carolyn & Chiou, Ming C., 1997. "Determinants of corporate hedging and derivatives: A revisit," Journal of Economics and Business, Elsevier, vol. 49(6), pages 569-585.
    8. Frederick M. Richardson & Gregory D. Kane & Patricia Lobingier, 1998. "The Impact of Recession on the Prediction of Corporate Failure," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(1‐2), pages 167-186, January.
    9. Blum, M, 1974. "Failing Company Discriminant-Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 12(1), pages 1-25.
    10. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    11. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    12. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    13. Mensah, Ym, 1984. "An Examination Of The Stationarity Of Multivariate Bankruptcy Prediction Models - A Methodological Study," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 380-395.
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    Cited by:

    1. Li, Jianjun & Hsu, Sara & Qin, Yanzhi, 2014. "Shadow banking in China: Institutional risks," China Economic Review, Elsevier, vol. 31(C), pages 119-129.

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