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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Mariia Chukhlantseva
Prediction of Company Bankruptcy in Russia
Economics
(Bachelor’s programme)
2016
In this article the author has checked the consistency of the current normative values ​​coefficients approved by the regulatory acts of the Russian Federation, and also provides refined by constructing decision trees and statistical analysis normative values ​​that allow with sufficient accuracy to classify on a bankrupt and financially healthy companies.

It has also been made to compare the efficacy of six different sets of financial ratios by constructing a logit - models. The results showed that the highest average accuracy of all of these approaches has shown a list of factors, the selected researchers (Giacomino, Bellovary, Akers, 2007) on the frequency of occurrence in the works devoted to the prediction of the bankruptcy of companies, for the period [1930 - 2007] - 73.3%.

The study of "legal" models showed improvement in the quality of normative acts of the Russian Federation over time (increase in predictive power for a few percentage points).

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