2013 IEEE Symposium on Humanities, Science and Engineering Research (SHUSER).
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: Fraud is not a new subject. Fraud basically involves any crime committed by a perpetrator that uses deception in order to gain something as the element of opportunity, pressure and rationalization exist. Thus, it is important to prevent and detect fraud before it causes the business to collapse. Fraud detection is an evolving discipline. Statistical methods and data mining are said to be among the best techniques to detect fraud. Computer- based fraud detection revolves the usage of Benford’s Law while Beneish model which is based on ratio analysis can also be utilised in discovering anomalies and detecting fraud. This paper, therefore, aim to focus on analysing the usage, process and application of Benford’s Law and Beneish Model in detecting accounting fraud. Comparisons were made to conclude that both techniques appear to have its own benefit in the quest of detecting and preventing fraud occurrence.
Bibtex:
@inProceedings {,
AUTHOR = {Nooraslinda Abdul Aris and Rohana Othman and Siti Maznah Mohd Arif and Mohamad Affendi Abdul Malek and Normah Omar},
TITLE = {Fraud Detection: Benford’s Law vs Beneish Model},
BOOKTITLE = {Proceedings of IEEE Symposium on Humanities, Science and Engineering Research (SHUSER)},
YEAR = {2013},
ORGANIZATION = {IEEE},
URL = {https://www.academia.edu/25040350/Fraud_Detection_Benfords_Law_vs_Beneish_Model},
}
Reference Type: Conference Paper
Subject Area(s): Accounting, Statistics