The Evaluation of Applicability of Known Models for Identification of Financial Inconsistencies in Conditions of Russian Economic Realities

DOI

10.2991/iscfec-19.2019.107How to use a DOI?

Keywords

financial inconsistencies, irregularities, corporate fraud, financial consistency, economic growth.

Abstract

Modern economic tendencies coupled with political tension and increasing share of shadow economy are pointing to the need of the new decision making support tools to further mitigate negative influences both at the companies’ and at state’s levels. The introduction of methods for identification of financial inconsistencies may be one of such tools. The goal of this research is the evaluation of applicability to the Russian economic reality of the most efficient and adaptive models for identification of finan-cial inconsistencies by testing them using data from Russian com-panies that were found guilty in committing financial inconsisten-cies since 2007 until 2016 by the Russian law. The results of the research indicate that those methods are ineffective when imple-mented to Russian economic realities due to specific of the state economy and the nature of financial inconsistencies of Russian companies

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - M. Gudova
PY  - 2019/05
DA  - 2019/05
TI  - The Evaluation of Applicability of Known Models for Identification of Financial Inconsistencies in Conditions of Russian Economic Realities
BT  - Proceedings of the International Science and Technology Conference "FarEastСon" (ISCFEC 2019)
PB  - Atlantis Press
SP  - 378
EP  - 380
SN  - 2352-5428
UR  - https://doi.org/10.2991/iscfec-19.2019.107
DO  - 10.2991/iscfec-19.2019.107
ID  - Gudova2019/05
ER  -