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Исследование Причин Отзыва Лицензий У Российских Коммерческих Банков В Посткризисный Период (2010-2011)

Author

Listed:
  • Емельянов А.М.
  • Брюхова О.О.

Abstract

В статье рассматриваются факторы, определяющие вероятность отзыва лицензий российских коммерческих банков в посткризисный период с 1 января 2010 г. по 31 декабря 2011 г. Прогнозирование финансовой устойчивости осуществляется с использованием логистической модели бинарного выбора, построенной на основе ежемесячной бухгалтерской отчетности, взятой за пять месяцев до наблюдения статуса банка. В работе также рассматривается вопрос о влиянии несбалансированности исходных данных на качество модели.

Suggested Citation

  • Емельянов А.М. & Брюхова О.О., 2015. "Исследование Причин Отзыва Лицензий У Российских Коммерческих Банков В Посткризисный Период (2010-2011)," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 51(3), pages 41-53, июль.
  • Handle: RePEc:scn:cememm:v:51:y:2015:i:3:p:41-53
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    References listed on IDEAS

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    1. Пересецкий А.А., 2007. "Методы Оценки Вероятности Дефолта Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(3), июль.
    2. 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.
    3. Peresetsky, Anatoly, 2013. "Modeling reasons for Russian bank license withdrawal: Unaccounted factors," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 30(2), pages 49-64.
    4. Bongini, Paola & Laeven, Luc & Majnoni, Giovanni, 2002. "How good is the market at assessing bank fragility? A horse race between different indicators," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 1011-1028, May.
    5. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    6. Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    9. James Kolari & Michele Caputo & Drew Wagner, 1996. "Trait Recognition: An Alternative Approach to Early Warning Systems in Commercial Banking," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 23(9-10), pages 1415-1434, December.
    10. Paola Bongini & Stijn Claessens & Giovanni Ferri, 2001. "The Political Economy of Distress in East Asian Financial Institutions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(1), pages 5-25, February.
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