Detection of Financial Statements Fraud in Russian Companies: Analysis of Beneish and Roxas Models Applicability
DOI:
https://doi.org/10.21638/11701/spbu18.2016.303Abstract
Currently the stakeholders of companies, in Russia and worldwide, need the instruments which enable them to detect financial statements fraud. The models developed by M. Beneish and M. Roxas are the examples of such instruments. However these models can not take into account specific features of accounting reporting regulations, accounting standards and business practices in Russia. Based on the sample of 60 Russian companies the authors discovered that the models by Beneish and Roxas identify whether financial statement fraud takes place or not only in 62% and 58% of cases respectively. The article suggests and assesses the revision of models’ benchmarks on the base of data on Russian companies. This revision increases the performance of models proposed by Beneish and Roxas to detect financial statement fraud.
Keywords:
financial statement, financial statement fraud, Beneish model, Roxas model, Russian companies
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Published
2016-10-25
How to Cite
Feruleva, N. V., & Stefan, M. A. (2016). Detection of Financial Statements Fraud in Russian Companies: Analysis of Beneish and Roxas Models Applicability. Russian Management Journal, 14(3), 49–70. https://doi.org/10.21638/11701/spbu18.2016.303
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Theoretical and Empirical Studies
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Articles of the Russian Management Journal are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.
