Detecting Earning Manipulation in a Developing Economy: An Empirical Study Using Beneish M-score Model

Simple item page
creativework.keywordsmanipulation of financial statements, Dhaka Stock Exchange (DSE), Beneish M-score.
dc.contributor.authorMs. Shirin Sharmin
dc.contributor.authorMr. Ashraful Arefin
dc.contributor.authorDr. Mohammad Arman
dc.contributor.editorAbdul Hannan Chowdhury
dc.date.accessioned2024-01-16
dc.date.accessioned2024-01-16T05:11:24Z
dc.date.available2024-01-16T05:11:24Z
dc.date.issued2021-06
dc.description.abstractManipulation of financial statements entails the intentional and often ill-motivated manoeuvring of financial records towards a pre-determined target. In such cases, motivations include achieving budgetary targets and rewarding senior managers with generous rewards – a classic instance of conflict of interests. Such manipulations have lately become increasingly frequent and severe in Bangladesh. In this back drop, the concerned board of directors is looking for improved surveillance techniques to better prevent and/or, detect and investigate possible financial frauds. In their quest for proactive approach against manipulation of financial statements, the board of directors look for warning signs and the present empirical study provides a profile of a company that is likely to manipulate its financial statements. In this study, data from 2016-2017 financial reports were utilized that correspond to 105 companies, excluding banks, non-banking financial institutions, insurance companies, and mutual funds listed at the Dhaka Stock Exchange (DSE) and the likelihood of accounting manipulation was quantified applying Beneish M-score model. It revealed that the maximum M-score was 7.06 and the minimum was -8.98, where higher scores indicate increased likelihood of accounting manipulation. Using a cut-off point of -1.78, twenty five companies were found to be suspected of accounting manipulation, while using a cut-off point of -2.22, fifty seven companies were found to be likely manipulator. Later a logistic model was developed to relate the likelihood of accounting manipulation to several company specific variables that were not explicitly considered in the Beneish M-score model. The findings are likely to benefit analysis of profiles of companies prone to accounting manipulation and thus could contribute to better corporate governance practices in emerging economies such as Bangladesh.
dc.identifier.doihttps://doi.org/10.47126/J.NSBR.1991-4938
dc.identifier.issn1991-4938
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/330
dc.language.isoen
dc.publisherNorth South University
dc.rights©School of Business and Economics, North South University
dc.titleDetecting Earning Manipulation in a Developing Economy: An Empirical Study Using Beneish M-score Model
dc.typeArticle
oaire.citation.endPage70
oaire.citation.issue2
oaire.citation.startPage59
oaire.citation.titleNorth South Business Review
oaire.citation.volume11
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Detecting Earning Manipulation in a Developing Economy.pdf
Size:
4.23 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Vol 11 -2