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Early Warning Models for Banking Supervision in Romania

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  • Radu Muntean
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    Abstract

    In this paper we propose an early warning system for the Romanian banking sector, as an addition to the standardized CAAMPL rating system used by the National Bank of Romania for assessing the local credit institutions. We aim to find the determinants for downgrades as well as for a bank to have a weak overall position, to estimate the respective probabilities and to be able to perform rating predictions. Having this purpose, we build two models with binary dependent variables and one ordered logistic model that accounts for all possible future ratings. One result is that indicators for current position, market share, profitability and assets quality determine rating downgrades, whereas capital adequacy, liquidity and macroeconomic environment are not represented in the model. Banks that will have a weak overall position in one year can be predicted using also indicators for current position, market share, profitability and assets quality, as well as, in this case, capital adequacy and macroeconomic environment, the latter only for the binary dependent variable model, leaving liquidity indicators out again. Based on the ordered logistic model’s capacity for rating prediction, we estimated one year horizon scores and ratings for each bank and we aggregated these results for predicting a measure of assessing the local banking sector as a whole.

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    File URL: http://www.dofin.ase.ro/Working%20papers/Muntean%20Radu/muntean.radu.dissertation.pdf
    File Function: First version, 2009
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    Bibliographic Info

    Paper provided by Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB in its series Advances in Economic and Financial Research - DOFIN Working Paper Series with number 39.

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    Date of creation: Nov 2009
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    Handle: RePEc:cab:wpaefr:39

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    Keywords: early warning system; CAAMPL rating system;

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    1. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    2. DeLisle Worrell, 2004. "Quantitative Assessment of the Financial Sector," IMF Working Papers 04/153, International Monetary Fund.
    3. David C. Wheelock & Paul W. Wilson, 2000. "Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 127-138, February.
    4. Julapa Jagtiani & James Kolari & Catharine Lemieux & Hwan Shin, 2003. "Early warning models for bank supervision: Simpler could be better," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 49-60.
    5. Alexis Derviz & Jiří Podpiera, 2008. "Predicting Bank CAMELS and S&P Ratings: The Case of the Czech Republic," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 44(1), pages 117-130, January.
    6. Engelmann, Bernd & Hayden, Evelyn & Tasche, Dirk, 2003. "Measuring the Discriminative Power of Rating Systems," Discussion Paper Series 2: Banking and Financial Studies 2003,01, Deutsche Bundesbank, Research Centre.
    7. Rupa Duttagupta & Paul Cashin, 2008. "The Anatomy of Banking Crises," IMF Working Papers 08/93, International Monetary Fund.
    8. Allen N. Berger & Margaret K. Kyle & Joseph M. Scalise, 2001. "Did U.S. Bank Supervisors Get Tougher during the Credit Crunch? Did They Get Easier during the Banking Boom? Did It Matter to Bank Lending?," NBER Chapters, in: Prudential Supervision: What Works and What Doesn't, pages 301-356 National Bureau of Economic Research, Inc.
    9. Tigran Poghosyan & Martin Cihák, 2009. "Distress in European Banks," IMF Working Papers 09/9, International Monetary Fund.
    10. FFF1Jitka NNN1Rychtarikova, 2004. "The case of the Czech Republic," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(5), pages 105-138, April.
    11. Martin Cihák & Klaus Schaeck, 2007. "How Well Do Aggregate Bank Ratios Identify Banking Problems?," IMF Working Papers 07/275, International Monetary Fund.
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