IDEAS home Printed from https://ideas.repec.org/a/air/journl/v7y2020i9p506.html

Detection of Financial Statement Frauds Using Beneish Model: Empirical Evidence from Listed Pharmaceutical Companies in Bangladesh

Author

Listed:
  • MD Mollah
  • Ishtiak Sakib

Abstract

Financial statement fraud had the most significant financial impact on companies when compared to the other categories of occupational fraud as per ACFE Report to the Nations 2014. This study aims to determine the value of Beneish M-Score and to identify whether selected pharmaceutical companies were manipulating there earnings or not. Financial information of 14 pharmaceutical companies was collected from their annual reports of 2014-18. This study finds that pharmaceutical companies of Bangladesh are engaged in Earnings Manipulation and they are doing it on a continuous basis. The results of our study show a deteriorating financial condition of pharmaceutical industry which should make the auditors and regulators more cautious in detecting financial statement frauds.

Suggested Citation

Handle: RePEc:air:journl:v:7:y:2020:i:9:p:506
DOI: 10.5281/zenodo.17217224
as

Download full text from publisher

File URL: https://www.ijmae.com/article_117962_b05a27c0e952b5ae3098e98156f5f5ce.pdf
Download Restriction: no
File URL: https://libkey.io/10.5281/zenodo.17217224?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:air:journl:v:7:y:2020:i:9:p:506. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Behzad Hassannezhad Kashani (email available below). General contact details of provider: https://www.ijmae.com/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.