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Erschienen in: Journal of Business Ethics 4/2017

16.02.2016

Truthfulness in Accounting: How to Discriminate Accounting Manipulators from Non-manipulators

verfasst von: Alina Beattrice Vladu, Oriol Amat, Dan Dacian Cuzdriorean

Erschienen in: Journal of Business Ethics | Ausgabe 4/2017

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Abstract

Accountants preparing information are in a position to manipulate the view of economic reality presented in such information to interested parties. These manipulations can be regarded as morally reprehensible because they are not fair to users, they involve in an unjust exercise of power, and they tend to weaken the authority of accounting regulators. This paper develops a model for detecting earnings manipulators using financial statements’ ratios in a sample of Spanish listed companies. Our results provide evidence that accounting data can be extremely useful in detecting manipulators. This approach can be used by a large category of users of accounting information among which we can cite stock exchange supervisors or investing professionals.

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Fußnoten
1
Since there are 9 independent variables, the total number of possible models is 512.
 
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Metadaten
Titel
Truthfulness in Accounting: How to Discriminate Accounting Manipulators from Non-manipulators
verfasst von
Alina Beattrice Vladu
Oriol Amat
Dan Dacian Cuzdriorean
Publikationsdatum
16.02.2016
Verlag
Springer Netherlands
Erschienen in
Journal of Business Ethics / Ausgabe 4/2017
Print ISSN: 0167-4544
Elektronische ISSN: 1573-0697
DOI
https://doi.org/10.1007/s10551-016-3048-3

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