Gudova M.R.Financial University under Government of Russian Federation, Moscow, Russian Federation GudovaMR@gmail.com ORCID id: not available
Subject The article addresses the financial irregularities of organizations in modern Russian economic realities. Objectives The aim is to reveal financial irregularities committed by Russian organizations based on the assessment of foreign models applicability. Methods Calculation of optimal values of financial indicators of the model that detects financial violations through the algorithm of constructing a binary classification tree for a sampling of about seven hundred Russian organizations with almost half of them found guilty of committing financial irregularities. Results We tested the Beneish model being the most popular one for financial irregularities identification. Due to low predictive accuracy of the basic Beneish model, we adjusted the values of the model indices and the consolidated index, considering the specific aspects of Russian organizations performance with financial irregularities. The adjustments increased the projected accuracy of the model, however, the share of incorrect classifications of organizations with financial irregularities remained high. Therefore, we recommend refining the indicators of foreign models for Russian economic realities. Conclusions Unfavorable economic conditions in Russia and the significance of damage from financial violations require adequate tools to identify them. Foreign models do not focuse on identification of financial violations that are specific to Russia. Low accuracy of testing results is a signal of the need to develop tools taking into account the Russian economy specificity.
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