volume 34, issue 5, P606-626 2019
DOI: 10.1108/maj-11-2017-1717
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Mark J. Nigrini

Abstract: Purpose This study aims to classify the numbers used in recent financial statement, corruption and asset misappropriation fraud schemes in such a way that these classes can be used to design effective proactive analytics-based fraud detection tests. Design/methodology/approach The data sources for the classification scheme include the court records of fraud prosecutions, investigative reports and research papers related to fraud cases. Findings Fraudulent numbers are most often amounts that are round, hav…

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