Detecting financial statement fraud by Malaysian public listed companies: The reliability of the Beneish M-Score model
Various fraud prediction tools have been developed to detect financial statement fraud triggered by earnings manipulation. Among them is the Beneish M-Score model as a financial forensic tool to gauge potential earnings manipulation in firms' financial statements. The model was found to be effe...
Published in: | Jurnal Pengurusan |
---|---|
Main Author: | 2-s2.0-84976870711 |
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2016
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976870711&partnerID=40&md5=74ceeda75969e239e67b85a877e6d0f6 |
Similar Items
-
Corporate Sustainability and Firms' Financial Performance: Evidence from Malaysian and Indonesian Public Listed Companies
by: 2-s2.0-85138150284
Published: (2022) -
Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia
by: 2-s2.0-85100992258
Published: (2021) -
Exploring the interaction effects of board meetings on information disclosure and financial performance in public listed companies
by: 2-s2.0-85117246309
Published: (2021) -
Business elites and earnings management in Malaysian public listed companies
by: 2-s2.0-85111399301
Published: (2021) -
Ownership structure and auditor's ethnicity of Malaysian public listed companies
by: 2-s2.0-84939782583
Published: (2015)