Kyiv School of Economics, Kyiv, Ukraine
This paper develops an early warning model (EWM) for a micro-macro analysis of individual and aggregated bank vulnerabilities in Ukraine. We applied a stepwise logit for predicting defaults at Ukrainian banks based on a panel bank and macro-level data from Q1 2009 to Q3 2019. Next, we aggregated individual bank default probabilities to provide policymakers with information about the general state of the financial system with a particular focus on generating a signal for countercyclical capital buffer (CCB) activation. Our key findings suggest that the probability of default exceeding 11% could signal about a vulnerable state in a bank and, in the aggregated model, in a financial system in general. The aggregated model successfully issues an out-of-sample signal of a systemic crisis four periods ahead of the start of the 2014-2015 turmoil.
Altman, E. I. (1977). Predicting performance in the savings and loan association industry. Journal of Monetary Economics, 3(4), 443-466. https://doi.org/10.1016/0304-3932(77)90015-0
Altman, E. I., Cizel, J., Rijken, H. A. (2014). Anatomy of bank distress: The information content of accounting fundamentals within and across countries. https://doi.org/10.2139/ssrn.2504926
Arena, M. (2008). Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank level data. Journal of Banking & Finance 32(2), 299-310. https://doi.org/10.1016/j.jbankfin.2007.03.011
Barth, J. R., Brumbaugh, R. D., Sauerhaft, D., Wang, G. H. (1985). Thrift institution failures: Causes and policy issues. Proceedings of the 21st Annual Conference on Bank Structure and Competition, 184-216. Chicago: Federal Reserve Bank of Chicago. Retrieved from http://webhome.auburn.edu/~barthjr/publications/Thrift%20Institution%20Failures%20Causes%20and%20Policy%20Issues.pdf
Basel Committee on Banking Supervision. (2010). Guidance for National Authorities Operating the Countercyclical Capital Buffer. Bank for International Settlements. Retrieved from https://www.bis.org/publ/bcbs187.pdf
Behn, M., Detken., Peltonen, T. A., Schudel, W. (2013). Setting countercyclical capital buffers based on early warning models. Would it work? ECB Working Paper, 1604. Frankfurt am Main: Europen Central Bank. Retrieved from https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1604.pdf
Betz, F., Oprica, S., Peltonen, T. A., Sarlin, P. (2014). Predicting distress in European banks. Journal of Banking & Finance, 45, 225-241. https://doi.org/10.1016/j.jbankfin.2013.11.041
Bongini, P., Laeven, L., Majnoni, G. (2002). How good is the market at assessing bank fragility? A horse race between different indicators. Journal of Banking & Finance, 26(5), 1011 – 1028. https://doi.org/10.1016/S0378-4266(01)00264-3
Bussiere, M., Fratzscher, M. (2006). Towards a new early warning system of financial crises. Journal of International Journal of International Money and Finance, 25(6), 953-973. https://doi.org/10.1016/j.jimonfin.2006.07.007
Cipollini, A., Fiordelisi, F. (2012). Economic value, competition and financial distress in the European banking system. Journal of Banking & Finance, 36(11), 3101-3109. https://doi.org/10.1016/j.jbankfin.2012.07.014
Cole, R. A., White, L. J. (2012). Déjà vu all over again: The causes of U.S. commercial bank failures this time around. Journal of Financial Services Research, 42(1-2), 5-29. https://doi.org/10.1007/s10693-011-0116-9
Demirgüç-Kunt, A., Detragiache, E. (1999). Monitoring banking sector fragility: A multivariate logit approach. IMF Working Paper, 99/147. International Monetary Fund. Retrieved from https://www.imf.org/external/pubs/ft/wp/1999/wp99147.pdf
Detken, C., Weeken, O., Alessi, L., Bonfim, D., Boucinha, M. M., … Welz, P. (2014). Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options. Occasional Paper Series, 5. European Systemic Risk Board. Retrieved from https://www.esrb.europa.eu//pub/pdf/occasional/20140630_occasional_paper_5.pdf
Drehmann, M., Borio, C., Kostas, T. (2011). Anchoring countercyclical capital buffers: The role of credit aggregates. International Journal of Central Banking, 7(4), 189-240. Retrieved from https://www.ijcb.org/journal/ijcb11q4a8.pdf
Filatov, V. (2020). A new financial stress index for Ukraine. Working Papers, HEIDWP15-2020. Switzerland: Graduate Institute of International and Development Studies. Retrieved from http://repec.graduateinstitute.ch/pdfs/Working_papers/HEIDWP15-2020.pdf
Flannery, M. J. (1998). Using market information in prudential bank supervision: A review of the U.S. empirical evidence. Journal of Money, Credit and Banking, 30(3), 273-305. https://doi.org/10.2307/2601102
Kraft, E., Galac, T. (2007). Deposit interest rates, asset risk and bank failure in Croatia. Journal of Financial Stability, 2(4), 312-336. https://doi.org/10.1016/j.jfs.2006.08.001
González-Hermosillo, B. (1999). Determinants of ex-ante banking system distress: A macro-micro empirical exploration of some recent episodes. IMF Working Paper, 99/33. https://doi.org/10.5089/9781451845167.001
Lang, J. H., Peltonen, P., Sarlin, T. A. (2018). A framework for early-warning modeling with an application to banks. ECB Working Paper, 2182. Frankfurt am Main: European Central Bank. Retrieved from https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2182.en.pdf
Martin, D. (1977). Early warning of bank failure: A logit regression approach. Journal of Banking & Finance, 1(3), 249-276. https://doi.org/10.1016/0378-4266(77)90022-X
Pazarbasioglu, C., Hardy, D. C. (1998). Leading indicators of banking crises: Was Asia different? IMF Working Paper, 98/91. International Monetary Fund. https://doi.org/10.5089/9781451951745.001
Poghosyan, T., Cihak, M. (2009). Distress in European banks: An analysis based on a new data set. IMF Working Paper, 09/9. International Monetary Fund. https://doi.org/10.5089/9781451871562.001
Rosa, P. S., Gartner, I. R. (2018). Financial distress in Brazilian banks: an early warning model. Revista Contabilidade & Finanças, 29(77), 312-331. https://doi.org/10.1590/1808-057x201803910
Sarlin, P. (2013). On policymakers’ loss functions and the evaluation of early warning systems. ECB Working Paper, 1509. Frankfurt am Main: European Central Bank. Retrieved from https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1509.pdf
Sinkey, J. F. Jr. (1975). A multivariate statistical analysis of the characteristics of problem banks. Journal of Finance 30(1), 21-36. https://doi.org/10.1111/j.1540-6261.1975.tb03158.x
Thomson, J. B. (1992). Modeling the bank regulator's closure option: A two-step logit regression approach. Journal of Financial Services Research, 6, 5-23. https://doi.org/10.1007/BF01046114
