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A multicriteria discrimination approach to model qualified audit reports

Michael Doumpos, Zopounidis Konstantinos, Spathis, Charalambos T

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URI: http://purl.tuc.gr/dl/dias/52F14991-DD54-494A-AF99-3470EFB412A3
Year 2004
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation C. Spathis, M. Doumpos and C. Zopounidis, "A multicriteria discrimination approach to model qualified audit reports," Operation. Res., vol. 4, no. 3, pp. 347-355, Sep. 2004. doi:10.1007/BF02944151 https://doi.org/10.1007/BF02944151
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Summary

This study investigates the contribution of financial and non-financial information to enhance the ability to discriminate between the choices of a qualified or unqualified (clean) audit report. The audit firms face the risk of losing the client if they issue a qualification. On the other hand, failing to qualify exposes the auditor to lawsuits and reputations loss. Financial statements, auditors’ opinions, and the notes to financial statements are examined for a sample of 100 firms. The auditors’ qualification decision is modelled using a multicriteria decision aid classification method (MHDIS-Multi-groupHierarchicalDIScrimination). A comparison with statistical techniques (linear discriminant analysis and logit analysis) is also performed. This study has implications for internal and external auditors and company decisions makers.

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