Peresetsky, Anatoly A. () (New Economic School) Karminsky, Alexandr A. () (Gazprombank, Moscow, Russia) Golovan, Sergei V. () (New Economic School)
Abstract
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. We find that preliminary expert clustering or automatic clustering improves the predictive power of the models and incor-poration 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. Russian banking system trends after the crisis 1998 are analyzed with rolling regressions.
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Publisher Info
Paper provided by Bank of Finland, Institute for Economies in Transition in its series BOFIT Discussion Papers with number
21/2004.
Length: 54 pages Date of creation: 30 Dec 2004 Date of revision: Handle: RePEc:hhs:bofitp:2004_021
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