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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50205 - Accounting

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database