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Detecting falsified financial statements using multicriteria analysis: The case of Greece

Zopounidis Konstantinos, Doumpos, Michael, Spathis, Charalambos T

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URIhttp://purl.tuc.gr/dl/dias/AA919C2E-A6A5-4E5F-9C43-37CA7E487937-
Identifierhttps://doi.org/10.2139/ssrn.250413-
Languageen-
Extent16 pagesen
TitleDetecting falsified financial statements using multicriteria analysis: The case of Greeceen
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
CreatorDoumpos, Michaelen
CreatorSpathis, Charalambos Ten
Content SummaryThis paper develops a model for detecting factors associated with falsified financial statements (FFS). A sample of 76 firms described over ten financial ratios is used for detecting factors associated with FFS. The identification of such factors is performed using a multicriteria decision aid classification method (UTADIS?UTilites Additives DIScriminantes). The developed model is accurate in classifying the total sample correctly. The results therefore demonstrate that the model is effective in detecting FFS and could be of assistance to auditors, to taxation, to Stock Exchange officials, to state authorities and regulators and to the banking system. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-27-
Date of Publication2000-
SubjectCapability, Financial (Financial literacy)en
SubjectFinancial capability (Financial literacy)en
SubjectLiteracy, Financialen
Subjectfinancial literacyen
Subjectcapability financial financial literacyen
Subjectfinancial capability financial literacyen
Subjectliteracy financialen
Bibliographic CitationCh. Spathis, M. Doumpos , C. Zopounidis ," Detecting falsified financial statements using multicriteria analysis: The case of Greece, " Foundations of Comp. and Decision Sc., vol. 25, no 3,pp. 193-208,2000.doi:10.2139/ssrn.250413en

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