Early warning models for bank supervision: Simpler could be better
Abstract
Can computer-based models, using publicly available information, be used as off-site early warning systems (EWS) to identify banks that will become inadequately capitalized in the near future? The EWS models analyzed in this article are able to detect the early onset of financial distress one year in advance with a reasonable degree of accuracy. Although simple EWS models do as well as or better than more sophisticated ones, more sophisticated models could provide detailed information about individual bank strengths and weaknesses.Download Info
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Article provided by Federal Reserve Bank of Chicago in its journal Economic Perspectives.
Volume (Year): (2003)
Issue (Month): Q III ()
Pages: 49-60
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Keywords: Bank supervision;References
References listed on IDEASPlease 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.:
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Guo Li & Lee Sanning & Sherrill Shaffer, 2009. "Statistical Opacity In The U.S. Banking Industry," CAMA Working Papers 2009-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Gerhard Hambusch & Sherrill Shaffer, 2012.
"Forecasting Bank Leverage,"
Working Paper Series
176, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
- Gerhard Hambusch & Sherrill Shaffer, 2012. "Forecasting Bank Leverage," CAMA Working Papers 2012-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Gerhard Hambusch & Sherrill Shaffer, 2012. "Forecasting Bank Leverage," Research Paper Series 320, Quantitative Finance Research Centre, University of Technology, Sydney.
- Peresetsky, Anatoly A. & Karminsky, Alexandr A. & Golovan, Sergei V., 2004.
"Probability of default models of Russian banks,"
BOFIT Discussion Papers
21/2004, Bank of Finland, Institute for Economies in Transition.
- Anatoly Peresetsky & Alexandr Karminsky & Sergei Golovan, 2011. "Probability of default models of Russian banks," Economic Change and Restructuring, Springer, vol. 44(4), pages 297-334, November.
- Casu, Barbara & Clare, Andrew & Saleh, Nashwa, 2011. "Towards a new model for early warning signals for systemic financial fragility and near crises: an application to OECD countries," MPRA Paper 37043, University Library of Munich, Germany.
- Shaffer, Sherrill, 2007. "Equity duration and convexity when firms can fail or stagnate," Finance Research Letters, Elsevier, vol. 4(4), pages 233-241, December.
- Radu Muntean, 2009. "Early Warning Models for Banking Supervision in Romania," Advances in Economic and Financial Research - DOFIN Working Paper Series 39, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
- Mikhail V. Oet & Ryan Eiben & Timothy Bianco & Dieter Gramlich & Stephen J. Ong & Jing Wang, 2011. "SAFE: An early warning system for systemic banking risk," Working Paper 1129, Federal Reserve Bank of Cleveland.
- Mehrez Ben Slama & Dhafer Saidane & Hassouna Fedhila, 2012. "How to identify targets in the M&A banking operations? Case of cross-border strategies in Europe by line of activity," Review of Quantitative Finance and Accounting, Springer, vol. 38(2), pages 209-240, February.
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