Golovan' S.A., Evdokimov A.M., Karminskij A.M., Peresetskij A.A. (2004). Modeli veroyatnosti defolta rossijskikh bankov. Vliyanie makroehkonomicheskikh faktorov na ustojchivost' bankov. M.: REhSh.
Golovan' S.A., Karminskij A.M., Kopylov A.V., Peresetskij A.A. (2003). Modeli veroyatnosti defolta rossijskikh bankov. Predvaritel'noe razbienie bankov na klastery. M.: REhSh.
Drobyshevskij S.M., Zubarev A.V. (2011). Faktory ustojchivosti rossijskikh bankov 2007–2009. M.: Institut im. E.T. Gajdara.
Emel'yanov A.M., Bryukhova O.O. (2013). Otsenka veroyatnosti bankrotstva bankov //Finansy i kredit. № 27 (555). S. 47–58.
Karminskij A.M., Kostrov A.V. (2013). Modeli veroyatnosti defolta rossijskikh bankov: rasshirennye vozmozhnosti // Zhurnal Novoj ehkonomicheskoj assotsiatsii. № 1. S. 64–86.
Karminskij A.M., Kostrov A.V., Murzenkov T.N. (2012). Modelirovanie veroyatnosti defolta rossijskikh bankov s ispol'zovaniem ehkonometricheskikh metodov. M.: Izd. dom GU VShEh.
Peresetskij A.A. (2007). Metody otsenki veroyatnosti defolta banka // Ehkonomika i matematicheskie metody. T. 43. № 3. S. 37–62.
Peresetskij A.A. (2013). Modeli prichin otzyva litsenzij rossijskikh bankov. Vliyanie neuchtennykh faktorov // Prikladnaya ehkonometrika. T. 30. № 2. S.49–64.
Federal'nyj zakon ot 25 fevralya 1999 g. № 40-FZ (red. ot 2 iyulya 2013 g.) «O nesostoyatel'nosti (bankrotstve) kreditnykh organizatsij».
Altman E. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy // The Journal of Finance. Vol. 4. P. 589–610.
Bell T.B. (1997). Neural Nets or the Logit Model? A Comparison of Each Model’s Ability to Predict Commercial Bank Failures // International Journal of Intelligent Systems in Accounting, Finance and Management. Vol. 6. P. 249–264.
Berg S.A., Hexeberg B. (1994). Early Warning Indicators for Norwegian Banks: A Logit Analysis of the Experiences from the Banking Crisis. Norges Bank Working Paper.
Bongini P., Claessens S., Ferri G. (2001). The Political Economy of Distress in East Asian Financial Institutions // Journal of Financial Services Research. Vol. 19. P. 5 –25.
Charnes A., Cooper W.W., Rhodes E. (1978). Measuring the Effi ciency of Decision-Making Units // European Journal of Operation Research. Vol. 6. P. 429–444.
Erdogan B.E. (2008). Bankruptcy Prediction of Turkish Commercial Banks Using Financial Ratios // Applied Mathematical Sciences. Vol. 60. P. 2973–2982.
Estrella A., Park S., Peristiani S. (2000). Capital Ratios as Predictors of Bank Failure // FRBNY Economic Policy Review. P. 33–52.
He H., Edwardo A. (2009). Learning from Imbalanced Data // IEEE Transactions on Knowledge and Data Engineering. Vol. 9. P. 1263–1284.
Kahn C., Papanikolaou N. (2013). What Problem Banks Reveal about Future Financial Distress: Evidence from the Late 2000s Financial Crisis. (April 30, 2013). Available at SSRN: http://ssrn.com/abstract=1913710
Kolari J., Caputo M., Wagner D. (1996) Trait Recognition: An Alternative Approach to Early Warning Systems in Commercial Banking // Journal of Business Finance and Accounting. Vol. 23. P. 1415–1434.
Kolari J., Glennon D., Shin H., Caputo M. (2002). Predicting Large US Commercial Bank Failures // Journal of Economics and Business. Vol. 54. P. 361–387.
Lanine G., Vennet R. (2006) Failure Prediction in the Russian Bank Sector with Logit and Trait Recognition Models // Expert Systems with Applications. Vol. 30. P. 463–478.
Logan A. (2000). The Early 1990s Small Banking Crisis: Leading Indicators // Bank of England Financial Stability Review. No. 9. P. 130 – 145.
Louzada F., Ferreira-Silva P.H., Diniz C.A.R. (2012). On the Impact of Disproportional Samples in Credit Scoring Models: An Application to a Brazilian Bank Data // Expert Systems with Application. Vol. 39. P. 8071–8078.
Martin D. (1977). Early Warning of Bank Failure: A Logit Regression Approach // Journal of Banking and Finance. Vol. 1. P. 249–276.
Paola B., Laeven L., Majnoni G. (2002). How Good is the Market at Assessing Bank Fragility? A Horse Race between Different Indicators // Journal of Banking and Finance. Vol. 26. P. 1011–1028.
Zhao H., Sinha A., Ge W. (2009). Effects of Feature Construction on Classifi cation Performance: An Empirical Study in Bank Failure Prediction // Expert Systems with Applications. Vol. 36. P. 2633–2644.
Comments
No posts found