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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Main Author: Nor Afifah, Shabani
Format: Thesis
Language:en
en
Published: 2011
Subjects:
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
https://etd.uum.edu.my/2719/
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author Nor Afifah, Shabani
author_facet Nor Afifah, Shabani
author_sort Nor Afifah, Shabani
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country 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.
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spelling my.uum.etd-27192016-04-19T04:00:31Z https://etd.uum.edu.my/2719/ Predicting Misleading Financial Statement in Malaysia Nor Afifah, Shabani 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 NonPeerReviewed application/pdf en https://etd.uum.edu.my/2719/1/Nor_Afifah_Shabani.pdf application/pdf en https://etd.uum.edu.my/2719/2/1.Nor_Afifah_Shabani.pdf Nor Afifah, Shabani (2011) Predicting Misleading Financial Statement in Malaysia. Masters thesis, Universiti Utara Malaysia.
spellingShingle HF5601-5689 Accounting
Nor Afifah, Shabani
Predicting Misleading Financial Statement in Malaysia
title 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_short Predicting Misleading Financial Statement in Malaysia
title_sort predicting misleading financial statement in malaysia
topic HF5601-5689 Accounting
url https://etd.uum.edu.my/2719/1/Nor_Afifah_Shabani.pdf
https://etd.uum.edu.my/2719/2/1.Nor_Afifah_Shabani.pdf
https://etd.uum.edu.my/2719/
url_provider http://etd.uum.edu.my/