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Scoring Modeling in Estimating the Financial Condition of Russian Agro-Industrial Companies
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Author(s): Oleg Y. Patlasov (Omsk Regional Institute, Russia)and Olga K. Mzhelskaya (Omsk Humanitarian Academy, Russia)
Copyright: 2019
Pages: 25
Source title:
Global Trends of Modernization in Budgeting and Finance
Source Author(s)/Editor(s): Denis Ushakov (Suan Sunandha Rajabhat University, Thailand)
DOI: 10.4018/978-1-5225-7760-7.ch008
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Abstract
The chapter presents the authors' estimations according to the scoring modeling techniques; also, internationally spread models of bankruptcy forecasting are systematized. Advantages and disadvantages of dynamic modelling methods as applied to financial condition assessment are presented here. Methodological problems of financial modelling are explained here in detail. Regression, logit-regression, and discriminant models are built on the basis of data on the Rosselkhozbank and Sberbank of Russia regulations, taking into account the agrarian specifics of organizations and regional specificity of the Omsk region. An attempt has been made to balance the simplicity of calculations and the accuracy of predictions. Graphs, to be used for express analysis, are constructed on the basis of two core financial indicators.
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