Testing the Effectiveness of Altman and Beneish Models in Detecting Financial Fraud and Financial Manipulation: Case Study Kuwaiti Stock

Raif M. Akra and Jamil K. Chaya

International Journal of Business and Management, 2021, vol. 15, issue 10, 70

Abstract: This study is an adoption of two probabilistic financial analysis methods, Altman and Beneish Models that have proven effective in early detection of possible financial distress and profit manipulation respectively. Motivated by the effectiveness of the models, this paper applies the methodology on the Kuwaiti Stock Market excluding banking and insurance companies. Results demonstrated that Altman has less predictive power in the context of industrial and real estate companies while Beneish has a strong predictive power to uncover possible manipulation in earnings or fraudulent reporting in the tested companies as confirmed with an ex-post review of the companies and news sources. We recommend a recalibration of the Altman model according to industry in addition to recommending that financial analysts and interested parties use both models.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ccsenet.org/journal/index.php/ijbm/article/download/0/0/43731/45947 (application/pdf)
http://www.ccsenet.org/journal/index.php/ijbm/article/view/0/43731 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijbmjn:v:15:y:2021:i:10:p:70

Access Statistics for this article

More articles in International Journal of Business and Management from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().