Цей документ розробляє модель раннього попередження (МРП) для мікро та макро аналізу окремих та агрегованих факторів вразливості банків в Україні. Ми застосували поетапну logit-модель для прогнозування дефолтів українських банках на основі даних групи банків та макрорівня з 1 кварталу 2009 року по 3 квартал 2019 року. Далі ми агрегували ймовірності дефолту окремих банків, щоб надати регуляторам інформацію про загальний стан фінансової системи, приділяючи особливу увагу формуванню сигналу для активації антициклічного буфера капіталу (АБК). Наші ключові висновки свідчать про те, що ймовірність дефолту, що перевищує 11%, може сигналізувати про вразливий стан банку та, в агрегованій моделі, фінансової системи взагалі. Агрегована модель успішно видає сигнал за межами вибірки про системну кризу за чотири періоди до початку кризи 2014-2015 років.
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