IDEAS home Printed from https://ideas.repec.org/a/air/journl/v6y2019i8p616.html

Detection of Earnings Manipulation Practices in Bangladesh

Author

Listed:
  • Ishtiak Sakib

Abstract

This study is conducted to detect earnings manipulation practices in selected textile companies of Bangladesh. It investigates whether the textile companies of Bangladesh are engaged in earnings manipulation of not. For testing this hypothesis, Beneish M-Score is being used collecting data of 13 textile companies from financial year 2012-2018. This study indicates a great number of earnings manipulation practices conducted in textile industries. This paper, based on Beneish M-Score, finds evidences regarding manipulation of earnings through disproportionate rise in receivables, cost deferral, less cash behind reported income, etc. by listed companies. This paper finds that the textile companies are manipulating earnings. While this model can be easily used to detect earnings manipulations using annual reports provided by listed companies, further investigations are needed to identify the reasons behind distortions in reported numbers are actually earnings manipulation or any other organizational origin. Being a cost effective tool in detecting frauds through manipulating earnings, this model can be a great tool for auditors and other respective regulatory authorities.

Suggested Citation

Handle: RePEc:air:journl:v:6:y:2019:i:8:p:616
DOI: 10.5281/zenodo.17231215
as

Download full text from publisher

File URL: https://www.ijmae.com/article_114607_2c203cf480837c7d4cc600888956e97f.pdf
Download Restriction: no

File URL: https://libkey.io/10.5281/zenodo.17231215?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:6:y:2019:i:8:p:616. 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.