Analysis of Performance Standards to Identify Distortions in Financial Statements of Credit Organizations

DOI

10.2991/aebmr.k.200509.035How to use a DOI?

Keywords

financial analysis, methods of financial analysis, financial statements, credit organizations, distortion of financial statements

Abstract

The article is devoted to the use of financial analysis methods to analyze performance standards of existing banks and banks with a revoked license due to distortion of financial statements. The issue of creating accurate financial analysis tools to recognize an intentional misrepresentation of an organization’s financial statements is relevant. The purpose of the article is to highlight performance standards, based on which it is possible to identify a distortion of the bank financial statements. The article presents the works of domestic scientists on this topic, explains a formed sample of reports in detail, and conducts an analysis on basis of this sample, as well as describes the standards that banks must comply with. As a result of the study, we determined the standards with the help of which we can assess presence of distortions in financial statements, this information can be used to build a statistical model for detecting distortions in bank statements.

Copyright

© 2020, 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  - Vladislav S. Stolbovoy
AU  - Zoya V. Udalova
PY  - 2020
DA  - 2020/05/12
TI  - Analysis of Performance Standards to Identify Distortions in Financial Statements of Credit Organizations
BT  - Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020)
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200509.035
DO  - 10.2991/aebmr.k.200509.035
ID  - Stolbovoy2020
ER  -