Economic Change and Restructuring

, Volume 44, Issue 4, pp 297–334 | Cite as

Probability of default models of Russian banks

  • Anatoly A. PeresetskyEmail author
  • Alexandr A. Karminsky
  • Sergei V. Golovan


This paper presents results from an econometric analysis of Russian bank defaults during the period 1997–2003, focusing on the extent to which publicly available information from quarterly bank balance sheets is useful in predicting future defaults. Binary choice models are estimated to construct the probability of default model. In the first part of the paper we analyse bank survival over the financial crisis of 1998. We find that preliminary expert clustering or automatic clustering improves the predictive power of the models and incorporation of macrovariables into the models is useful. Heuristic criteria are suggested to help compare model performance from the perspectives of investors or banks supervision authorities. In the second part of the paper we use the probability of default models developed in the first part in rolling windows to analyse the Russian banking system trends after the crisis 1998.


Banks Russia Probability of default model Early warning systems 

JEL Classification

C35 C52 F39 G21 



We are deeply grateful to the participants of the BOFIT seminar and participants of the econometrics seminar in the Center for Economic Research of the Tilburg University for insightful discussions. We also thank Tilburg University Professors Bertrand Melenberg and Arthur van Soest for many helpful comments. We are grateful for BOFIT researchers Iikka Korhonen and Tuomas Komulainen for reading the draft of the paper and their suggestions for improvement. Credit also to Andrei Petrov at the Mobile Information Agency for providing Russian bank data. We thank the students of the New Economic School involved in the bank research project. Special thanks to Greg Moore, his help makes the paper readable. A. Peresetsky worked on this paper as a visiting researcher at the Bank of Finland’s Institute for Economies in Transition (BOFIT) and would like to express his gratitude to BOFIT for the excellent, friendly research environment. Naturally, we are responsible for any erors or omissions.


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Copyright information

© Springer Science+Business Media, LLC. 2011

Authors and Affiliations

  • Anatoly A. Peresetsky
    • 1
    Email author
  • Alexandr A. Karminsky
    • 2
  • Sergei V. Golovan
    • 3
  1. 1.Higher School of Economics, CEMI RAS and NESMoscowRussia
  2. 2.Higher School of EconomicsMoscowRussia
  3. 3.New Economic School and CEFIRMoscowRussia

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