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Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques

Zopounidis Konstantinos, Michael Doumpos, Spathis, Charalambos T

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URIhttp://purl.tuc.gr/dl/dias/50F35985-9E19-46AA-A0B2-638FB4BD0A51-
Identifierhttp://www.tandfonline.com/doi/abs/10.1080/0963818022000000966-
Identifierhttps://doi.org/10.1080/0963818022000000966-
Languageen-
Extent27 pagesen
TitleDetecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniquesen
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
CreatorMichael Doumposen
CreatorΔουμπος Μιχαληςel
CreatorSpathis, Charalambos Ten
PublisherTaylor & Francisen
Content SummaryFalsifying financial statements involves the manipulation of financial accounts by overstating assets, sales and profit, or understating liabilities, expenses or losses. This paper explores the effectiveness of an innovative classification methodology in detecting firms that issue falsified financial statements (FFS) and the identification of the factors associated to FFS. The methodology is based on the concepts of multicriteria decision aid (MCDA) and the application of the UTADIS classification method (UTilités Additives DIScriminantes). A sample of 76 Greek firms (38 with FFS and 38 non-FFS) described over ten financial ratios is used for detecting factors associated with FFS. A jackknife procedure approach is employed for model validation and comparison with multivariate statistical techniques, namely discriminant and logit analysis. The results indicate that the proposed MCDA methodology outperforms traditional statistical techniques which are widely used for FFS detection purposes. Furthermore, the results indicate that the investigation of financial information can be helpful towards the identification of FFS and highlight the importance of financial ratios such as the total debt to total assets ratio, the inventories to sales ratio, the net profit to sales ratio and the sales to total assets ratio.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-17-
Date of Publication2002-
SubjectMulticriteria decision aiden
Bibliographic CitationC. Spathis, M. Doumpos and C. Zopounidis, "Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques," Europ. Account. Rev., vol. 11, no. 3, pp. 509-535, 2002. doi:10.1080/0963818022000000966en

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