IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Slippery slopes of stress: Ordered failure events in German banking

  • Kick, Thomas
  • Koetter, Michael

Outright bank failures without prior indication of financial instability are very rare. Supervisory authorities monitor banks constantly. Thus, they usually obtain early warning signals that precede ultimate failure and, in fact, banks can be regarded as troubled to varying degrees before outright closure. But to our knowledge virtually all studies that predict bank failures neglect the ordinal nature of bank distress. Exploiting the distress database of the Deutsche Bundesbank we distinguish four different distress events that banks experience. Only the worst entails a bank to exit the market. Weaker orders of distress are, first, compulsory notifications of the authorities about potential problems, second, corrective actions such as warnings and hearings and, third, actions by banking pillar's insurance schemes. Since the four categories of hazard functions are not proportional, we specify a generalized ordered logit model to estimate the respective probabilities of distress simultaneously. Our model estimates each set of probabilities with high accuracy and confirms, first, the necessity to account for different kinds of distress events and, second, the violation of the proportional odds assumption implicit in most limited dependent analyses of bank failure.

(This abstract was borrowed from another version of this item.)

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Journal of Financial Stability.

Volume (Year): 3 (2007)
Issue (Month): 2 (July)
Pages: 132-148

in new window

Handle: RePEc:eee:finsta:v:3:y:2007:i:2:p:132-148
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of financial institutions: international survey and directions for future research," Finance and Economics Discussion Series 1997-11, Board of Governors of the Federal Reserve System (U.S.).
  2. Clark, Jeffrey A & Siems, Thomas F, 2002. "X-Efficiency in Banking: Looking beyond the Balance Sheet," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 987-1013, November.
  3. DeYoung, Robert, et al, 2001. "The Information Content of Bank Exam Ratings and Subordinated Debt Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(4), pages 900-925, November.
  4. Rebel A. Cole & Jeffery W. Gunther, 1993. "Separating the likelihood and timing of bank failure," Financial Industry Studies Working Paper 93-2, Federal Reserve Bank of Dallas.
  5. Sinkey, Joseph F, Jr, 1975. "A Multivariate Statistical Analysis of the Characteristics of Problem Banks," Journal of Finance, American Finance Association, vol. 30(1), pages 21-36, March.
  6. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, Structural Instability and Present Value Calculations," IEPR Working Papers 06.42, Institute of Economic Policy Research (IEPR).
  7. Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
  8. Arturo Estrella & Sangkyun Park & Stavros Peristiani, 2000. "Capital ratios as predictors of bank failure," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 33-52.
  9. Focarelli, Dario & Panetta, Fabio & Salleo, Carmelo, 2002. "Why Do Banks Merge?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 1047-66, November.
  10. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
  11. Michael Koetter, 2006. "Measurement Matters—Alternative Input Price Proxies for Bank Efficiency Analyses," Journal of Financial Services Research, Springer, vol. 30(2), pages 199-227, October.
  12. Altman, Edward I., 1977. "Predicting performance in the savings and loan association industry," Journal of Monetary Economics, Elsevier, vol. 3(4), pages 443-466, October.
  13. Oosterloo, Sander & de Haan, Jakob & Jong-A-Pin, Richard, 2007. "Financial stability reviews: A first empirical analysis," Journal of Financial Stability, Elsevier, vol. 2(4), pages 337-355, March.
  14. Daniel Porath, 2006. "Estimating probabilities of default for German savings banks and credit cooperatives," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 58(3), pages 214-233, July.
  15. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-24, January.
  16. DeYoung, Robert, 2003. "The failure of new entrants in commercial banking markets: a split-population duration analysis," Review of Financial Economics, Elsevier, vol. 12(1), pages 7-33.
  17. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:finsta:v:3:y:2007:i:2:p:132-148. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.