What factors drive the Russian banks license withdrawal
AbstractThe binary and multinomial logit models are applied for prediction of the Russian banks defaults (license withdrawals) using data from bank balance sheets and macroeconomic indicators. Significantly different models correspond to the two main grounds for license withdrawal: financial insolvency and money laundering. Analysis of data for the period 2005.2–2008.4 for accurate prediction of a bank’s financial insolvency, which is the focus of interest for the Russian Deposit Insurance Agency, demonstrates that the multinomial model doesn’t outperform the binary model.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 41507.
Date of creation: 2011
Date of revision:
Multinomial logit model; binary logit model; probability of default; Russian banks; money laundering; bank supervision;
Find related papers by JEL classification:
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G20 - Financial Economics - - Financial Institutions and Services - - - General
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- R. Alton Gilbert & Andrew P. Meyer & Mark D. Vaughan, 2002. "Could a CAMELS downgrade model improve off-site surveillance?," Review, Federal Reserve Bank of St. Louis, issue Jan., pages 47-63.
- Izan, H. Y., 1984. "Corporate distress in Australia," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 303-320, June.
- Altman, Edward I. & Rijken, Herbert A., 2004. "How rating agencies achieve rating stability," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2679-2714, November.
- Rebel Cole & Jeffery Gunther, 1998. "Predicting Bank Failures: A Comparison of On- and Off-Site Monitoring Systems," Journal of Financial Services Research, Springer, vol. 13(2), pages 103-117, April.
- John Krainer & Jose A. Lopez, 2004.
"Using securities market information for bank supervisory monitoring,"
Working Paper Series
2004-05, Federal Reserve Bank of San Francisco.
- John Krainer & Jose A. Lopez, 2008. "Using Securities Market Information for Bank Supervisory Monitoring," International Journal of Central Banking, International Journal of Central Banking, vol. 4(1), pages 125-164, March.
- 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.
- Wiginton, John C., 1980. "A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(03), pages 757-770, September.
- 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.
- John Krainer & Jose A. Lopez, 2002. "Off-site monitoring of bank holding companies," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue may17.
- Peresetsky , Anatoly & Karminsky, Alexander, 2008.
"Models for Moody’s bank ratings,"
BOFIT Discussion Papers
17/2008, Bank of Finland, Institute for Economies in Transition.
- Bussière, Matthieu & Fratzscher, Marcel, 2002.
"Towards a new early warning system of financial crises,"
Working Paper Series
0145, European Central Bank.
- Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
- Fratzscher, Marcel & Matthieu Bussiere, 2003. "Towards A New Early Warning System of Financial Crises," Royal Economic Society Annual Conference 2003 81, Royal Economic Society.
- Koetter, M. & Bos, J.W.B. & Heid, F. & Kolari, J.W. & Kool, C.J.M. & Porath, D., 2007.
"Accounting for distress in bank mergers,"
Journal of Banking & Finance,
Elsevier, vol. 31(10), pages 3200-3217, October.
- Koetter, Michael & Bos, Jaap W. B. & Heid, Frank & Kool, Clemens J. M. & Kolari, James W. & Porath, Daniel, 2005. "Accounting for distress in bank mergers," Discussion Paper Series 2: Banking and Financial Studies 2005,09, Deutsche Bundesbank, Research Centre.
- 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.
- John Krainer & Jose A. Lopez, 2003. "How might financial market information be used for supervisory purposes?," Economic Review, Federal Reserve Bank of San Francisco, pages 29-45.
- Rebel A. Cole & Jeffery W. Gunther, 1993.
"Separating the likelihood and timing of bank failure,"
Finance and Economics Discussion Series
93-20, Board of Governors of the Federal Reserve System (U.S.).
- Cole, Rebel A. & Gunther, Jeffery W., 1995. "Separating the likelihood and timing of bank failure," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 1073-1089, September.
- 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.
- 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.
- Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
- Westgaard, Sjur & van der Wijst, Nico, 2001. "Default probabilities in a corporate bank portfolio: A logistic model approach," European Journal of Operational Research, Elsevier, vol. 135(2), pages 338-349, December.
- Lennox, Clive, 1999. "Identifying failing companies: a re-evaluation of the logit, probit and DA approaches," Journal of Economics and Business, Elsevier, vol. 51(4), pages 347-364, July.
- Christophe J. Godlewski, 2007. "Are Ratings Consistent with Default Probabilities?: Empirical Evidence on Banks in Emerging Market Economies," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 43(4), pages 5-23, August.
- Pamela K. Coats & L. Franklin Fant, 1993. "Recognizing Financial Distress Patterns Using a Neural Network Tool," Financial Management, Financial Management Association, vol. 22(3), Fall.
- Rebel A. Cole & Jeffery W. Gunther, 1995. "FIMS: a new monitoring system for banking institutions," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Jan, pages 1-15.
- John Krainer & Jose A. Lopez, 2001.
"Incorporating equity market information into supervisory monitoring models,"
Working Paper Series
2001-14, Federal Reserve Bank of San Francisco.
- Krainer, John & Lopez, Jose A, 2004. "Incorporating Equity Market Information into Supervisory Monitoring Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(6), pages 1043-67, December.
- Soest, A.H.O. van & Peresetsky, A. & Karminsky, A.M., 2003. "An Analysis of Ratings of Russian Banks," Discussion Paper 2003-85, Tilburg University, Center for Economic Research.
- Beverly J. Hirtle & Jose A. Lopez, 1999. "Supervisory information and the frequency of bank examinations," Economic Policy Review, Federal Reserve Bank of New York, issue Apr, pages 1-20.
- Wei, Yingqi & Liu, Bo & Liu, Xiaming, 2005. "Entry modes of foreign direct investment in China: a multinomial logit approach," Journal of Business Research, Elsevier, vol. 58(11), pages 1495-1505, November.
- Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
- Scott, James, 1981. "The probability of bankruptcy: A comparison of empirical predictions and theoretical models," Journal of Banking & Finance, Elsevier, vol. 5(3), pages 317-344, September.
- Espahbodi, Hassan & Espahbodi, Pouran, 2003. "Binary choice models and corporate takeover," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 549-574, April.
- John Krainer & Jose A. Lopez, 2009. "Do supervisory rating standards change over time?," Economic Review, Federal Reserve Bank of San Francisco, pages 13-24.
- Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
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