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Models for bankruptcy forecasting: Case study of Russian enterprises
Authors:E. A. Fedorova  E. V. Gilenko  S. E. Dovzhenko
Affiliation:16287. Financial University under the Government of the Russian Federation, Moscow, Russia
26287. St. Petersburg State University, St. Petersburg, Russia
Abstract:The article examines the applicability of a number of foreign and national forecasting models of the bankruptcy probability of Russian enterprises. The presented models are developed using econometric methods on a sample of manufacturing enterprises of the Russian Federation with resulting efficiency of 84.7%. Using the methodology of binary classification trees, the boundaries of liquidity and financial stability ratios leading to bankruptcy are specified.
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