Predicting Misleading Financial Statement in Malaysia
This study aims to examine the ability of financial ratios in predicting misleading financial statements, specifically in Malaysian environment. This study uses nine financial ratios; seven which are commonly used in previous studies (TLTA, NITA, NIS, CATA, RTA, WCTA & STA) and two additional ra...
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2011
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Online Access: | https://etd.uum.edu.my/2719/1/Nor_Afifah_Shabani.pdf https://etd.uum.edu.my/2719/2/1.Nor_Afifah_Shabani.pdf |
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my-uum-etd.27192016-04-19T04:00:31Z Predicting Misleading Financial Statement in Malaysia 2011-02 Nor Afifah, Shabani Md Yusof, Mohd 'Atef College of Business (COB) College of Business HF5601-5689 Accounting This study aims to examine the ability of financial ratios in predicting misleading financial statements, specifically in Malaysian environment. This study uses nine financial ratios; seven which are commonly used in previous studies (TLTA, NITA, NIS, CATA, RTA, WCTA & STA) and two additional ratios which have never been tested in previous studies (CFOTA & CFOS). Two time periods were studied to compare the usefulness of financial ratios in predicting misleading financial statements for the first year fraud deem to exist and a year prior it comes out clear. Univariate and multivariate such as independent sample test and logistic regression technique were used to analyze the data. Results from univariate test show six financial ratios are significant while results from logistic regression analysis show that three ratios are significant for the misleading year and two ratios for preceding year. NITA is the only ratio that is significant for all three tests conducted. Thus, it is concluded that financial ratios are able to predict misleading financial statements. 2011-02 Thesis https://etd.uum.edu.my/2719/ https://etd.uum.edu.my/2719/1/Nor_Afifah_Shabani.pdf application/pdf eng validuser https://etd.uum.edu.my/2719/2/1.Nor_Afifah_Shabani.pdf application/pdf eng public masters masters Universiti Utara Malaysia |
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Universiti Utara Malaysia |
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UUM ETD |
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eng eng |
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Md Yusof, Mohd 'Atef |
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HF5601-5689 Accounting |
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HF5601-5689 Accounting Nor Afifah, Shabani Predicting Misleading Financial Statement in Malaysia |
description |
This study aims to examine the ability of financial ratios in predicting misleading financial statements, specifically in Malaysian environment. This study uses nine financial ratios; seven which are commonly used in previous studies (TLTA, NITA, NIS, CATA, RTA, WCTA & STA) and two additional ratios which have never been tested in previous studies (CFOTA & CFOS). Two time periods were studied to compare the usefulness of financial ratios in predicting misleading financial statements for the first year fraud deem to exist and a year prior it comes out clear. Univariate and
multivariate such as independent sample test and logistic regression technique were used to analyze the data. Results from univariate test show six financial ratios are significant while results from logistic regression analysis show that three ratios are significant for the misleading year and two ratios for preceding year. NITA is the only ratio that is significant for all three tests conducted. Thus, it is concluded that financial ratios are able to predict misleading financial statements. |
format |
Thesis |
qualification_name |
masters |
qualification_level |
Master's degree |
author |
Nor Afifah, Shabani |
author_facet |
Nor Afifah, Shabani |
author_sort |
Nor Afifah, Shabani |
title |
Predicting Misleading Financial Statement in Malaysia |
title_short |
Predicting Misleading Financial Statement in Malaysia |
title_full |
Predicting Misleading Financial Statement in Malaysia |
title_fullStr |
Predicting Misleading Financial Statement in Malaysia |
title_full_unstemmed |
Predicting Misleading Financial Statement in Malaysia |
title_sort |
predicting misleading financial statement in malaysia |
granting_institution |
Universiti Utara Malaysia |
granting_department |
College of Business (COB) |
publishDate |
2011 |
url |
https://etd.uum.edu.my/2719/1/Nor_Afifah_Shabani.pdf https://etd.uum.edu.my/2719/2/1.Nor_Afifah_Shabani.pdf |
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1747827412639416320 |