Detection of Earnings Manipulation Practices in Bangladesh

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.

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Publication Details

Journal
SSRN Electronic Journal
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17231214
Citations
7
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
7.44
Controls
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article

Detection of Earnings Manipulation Practices in Bangladesh

Ishtiak Ahmed Sakib
7 citations
SSRN Electronic Journal
Imbalanced Data Classification Techniques
7.44
article

Detection of Earnings Manipulation Practices in Bangladesh

Ishtiak Ahmed Sakib
article en
7 citations

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.

SSRN Electronic Journal
University of Dhaka (BD)
Decent work and economic growth
Openalex Percentile: Top 4%
Imbalanced Data Classification Techniques
7.44
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