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Are the causes of bank distress changing? can researchers keep up?

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Since 1990, the banking sector has experienced enormous legislative, technological and financial changes, yet research into the causes of bank distress has slowed. One consequence is that current supervisory surveillance models may no longer accurately represent the banking environment. After reviewing the history of these models, we provide empirical evidence that the characteristics of failing banks has changed in the last ten years and argue that the time is right for new research employing new empirical techniques. In particular, dynamic models that utilize forward-looking variables and address various types of bank risk individually are promising lines of inquiry. Supervisory agencies have begun to move in these directions, and we describe several examples of this new generation of early-warning models that are not yet widely known among academic banking economists.

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  • Thomas B. King & Timothy J. Yeager, 2004. "Are the causes of bank distress changing? can researchers keep up?," Supervisory Policy Analysis Working Papers 2004-07, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlsp:2004-07
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    Cited by:

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    4. Thomas B. King, 2008. "Discipline and Liquidity in the Interbank Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 295-317, March.
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    10. Oet, Mikhail V. & Bianco, Timothy & Gramlich, Dieter & Ong, Stephen J., 2013. "SAFE: An early warning system for systemic banking risk," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4510-4533.
    11. Cole, Rebel A. & Wu, Qiongbing, 2009. "Is hazard or probit more accurate in predicting financial distress? Evidence from U.S. bank failures," MPRA Paper 24688, University Library of Munich, Germany, revised 01 Aug 2010.
    12. De Graeve, Ferre & Kick, Thomas, 2008. "Monetary policy and bank distress: an integrated micro-macro approach," Discussion Paper Series 2: Banking and Financial Studies 2008,03, Deutsche Bundesbank.
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    14. Hong, Han & Huang, Jing-Zhi & Wu, Deming, 2014. "The information content of Basel III liquidity risk measures," Journal of Financial Stability, Elsevier, vol. 15(C), pages 91-111.
    15. Bos, J.W.B. & Koetter, M. & Kolari, J.W. & Kool, C.J.M., 2009. "Effects of heterogeneity on bank efficiency scores," European Journal of Operational Research, Elsevier, vol. 195(1), pages 251-261, May.
    16. Mr. Tigran Poghosyan & Mr. Martin Cihak, 2009. "Distress in European Banks: An Analysis Basedon a New Dataset," IMF Working Papers 2009/009, International Monetary Fund.
    17. Raymond A. Ezejiofor & U. C. Nzewi & Pius V.C. Okoye, 2014. "Corporate Bankruptcy: An Application of Altman Model in Predicting Potential of Failure in Nigerian Banking Sector," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 2(4), pages 152-171.
    18. Hasan, Iftekhar & Liu, Liuling & Zhang, Gaiyan, 2014. "The determinants of global bank credit-default-swap spreads," Bank of Finland Research Discussion Papers 33/2014, Bank of Finland.
    19. Henrik Andersen, 2008. "Failure prediction of Norwegian banks: A Logit approach," Working Paper 2008/02, Norges Bank.
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