MODELS OF DETECTION OF MANIPULATED FINANCIAL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F16%3A43891492" target="_blank" >RIV/60076658:12510/16:43891492 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
MODELS OF DETECTION OF MANIPULATED FINANCIAL
Original language description
Accounting remains the main source of information about the company for most users of financial statements. At the same time, the creators and users of financial statements want to get the best quality and quantity of information as far as possible. Although users of financial statements are unable to obtain with absolute certainty statements that are true and fair, they need to know how much they can rely on financial statements. This paper deals with reducing the information asymmetry, especially on the part of users of financial statements. The paper analyses selected models of the detection of manipulated financial statements as a possibility to reduce the risk of accounting fraud and use as part of an internal control system of an entity or as a management tool for corporate governance or internal auditors. A risk analysis was performed on selected models; the Beneish model, the CFEBT model, the Jones Non discretionary Accruals model and selected bankruptcy models to detect accounting frauds in specific case studies of selected accounting unit.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50205 - Accounting
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Finance and Risk Perspectives
ISSN
2305-7394
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
230-238
UT code for WoS article
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EID of the result in the Scopus database
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