Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A Prediction
The purpose of this study is to predict the areas in financial statements susceptive to fraud in the banking sector of Bangladesh. Data of 13 years ranging from 2006 to 2018 of 29 listed banks in Bangladesh were examined for the purpose of this study. Financial data suggested by International Standa...
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| Format: | Article |
| Language: | English |
| Published: |
Mashhad: Behzad Hassannezhad Kashani
2021-02-01
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| Series: | International Journal of Management, Accounting and Economics |
| Subjects: | |
| Online Access: | https://www.ijmae.com/article_128531_f474fb4d57196b30a309c53a68a9cd1b.pdf |
| _version_ | 1797744412883681280 |
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| author | Md. Rezaul Karim Muhammad Armaan Hossain |
| author_facet | Md. Rezaul Karim Muhammad Armaan Hossain |
| author_sort | Md. Rezaul Karim |
| collection | DOAJ |
| description | The purpose of this study is to predict the areas in financial statements susceptive to fraud in the banking sector of Bangladesh. Data of 13 years ranging from 2006 to 2018 of 29 listed banks in Bangladesh were examined for the purpose of this study. Financial data suggested by International Standard on Auditing (ISA) 240 as fraud risk indicators were used as the independent variables and banks identified by Centre for Policy Dialogue (CPD) to be engaged in fraud, scam and heists were taken as dependent variable. Multilayer Perceptron Network (MLP), a class of feedforward Artificial Neural Network (ANN) model was used as the analytical tool. It is found that loan disbursement, assets, profit, operating expenses and tax are the areas that can signal the probable fraud in financial statements of the listed banks of Bangladesh. The findings of this study will have policy implications for auditors and the regulators of money market in Bangladesh. |
| first_indexed | 2024-03-12T15:09:27Z |
| format | Article |
| id | doaj.art-9e4a23fdd9a24aeba95b8a86dc058cd6 |
| institution | Directory Open Access Journal |
| issn | 2383-2126 |
| language | English |
| last_indexed | 2024-03-12T15:09:27Z |
| publishDate | 2021-02-01 |
| publisher | Mashhad: Behzad Hassannezhad Kashani |
| record_format | Article |
| series | International Journal of Management, Accounting and Economics |
| spelling | doaj.art-9e4a23fdd9a24aeba95b8a86dc058cd62023-08-11T20:30:35ZengMashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21262021-02-0182628110.5281/zenodo.4640933128531Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A PredictionMd. Rezaul Karim0Muhammad Armaan Hossain1Department of Accounting & Information Systems, University of Dhaka, Dhaka, BangladeshDepartment of Accounting & Information Systems, University of Dhaka, Dhaka, BangladeshThe purpose of this study is to predict the areas in financial statements susceptive to fraud in the banking sector of Bangladesh. Data of 13 years ranging from 2006 to 2018 of 29 listed banks in Bangladesh were examined for the purpose of this study. Financial data suggested by International Standard on Auditing (ISA) 240 as fraud risk indicators were used as the independent variables and banks identified by Centre for Policy Dialogue (CPD) to be engaged in fraud, scam and heists were taken as dependent variable. Multilayer Perceptron Network (MLP), a class of feedforward Artificial Neural Network (ANN) model was used as the analytical tool. It is found that loan disbursement, assets, profit, operating expenses and tax are the areas that can signal the probable fraud in financial statements of the listed banks of Bangladesh. The findings of this study will have policy implications for auditors and the regulators of money market in Bangladesh.https://www.ijmae.com/article_128531_f474fb4d57196b30a309c53a68a9cd1b.pdffraudfraudulent financial reportingartificial neural network (ann) |
| spellingShingle | Md. Rezaul Karim Muhammad Armaan Hossain Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A Prediction International Journal of Management, Accounting and Economics fraud fraudulent financial reporting artificial neural network (ann) |
| title | Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A Prediction |
| title_full | Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A Prediction |
| title_fullStr | Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A Prediction |
| title_full_unstemmed | Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A Prediction |
| title_short | Fraudulent Financial Reporting in the Banking Sector of Bangladesh: A Prediction |
| title_sort | fraudulent financial reporting in the banking sector of bangladesh a prediction |
| topic | fraud fraudulent financial reporting artificial neural network (ann) |
| url | https://www.ijmae.com/article_128531_f474fb4d57196b30a309c53a68a9cd1b.pdf |
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