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Financial Analytics: Science and Experience
 

An impact of corporate governance on forecasting of the Russian businesses’ bankruptcy

Vol. 9, Iss. 43, NOVEMBER 2016

PDF  Article PDF Version

Received: 21 September 2016

Received in revised form: 10 October 2016

Accepted: 24 October 2016

Available online: 29 November 2016

Subject Heading: MATHEMATICAL ANALYSIS AND MODELING IN ECONOMICS

JEL Classification: C53, G02, G33

Pages: 51-62

Fedorova E.A. Financial University under Government of Russian Federation, Moscow, Russian Federation
ecolena@mail.ru

Dobryanskaya P.S. Financial University under Government of Russian Federation, Moscow, Russian Federation
dobryanskaya.p@gmail.com

Importance The research focuses on issues of effective forecasting of corporate insolvency, factors of corporate governance and their influence on the bankruptcy probability.
Objectives We investigate how the probability of corporate bankruptcy depends on corporate governance, illustrating evidence from the Russian companies and setting a model to forecast bankruptcy of the Russian entities in line with the factors.
Methods The research employs two logistic models with various financial and non-financial indicators that project two degrees of bankruptcy, i.e. complete and incomplete. The empirical framework includes results of an analysis of financial statements prepared by 376 Russian companies, and coefficients of corporate governance level and macroeconomic indicators.
Results The bankruptcy probability is influenced by nonfinancial aspects, general condition of the financial market and industries, other macroeconomic factors, rather than financial indicators only.
Conclusions and Relevance They may have scientific and practical value since investors, banks and other stakeholders need to forecast the probability of financial insolvency and take an adequate decision respectively.

Keywords: forecast, bankruptcy, corporate, governance, logistic regression

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