Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies

( under the provisions of Practice Note 17, issued by the Bursa Malaysia on 3 January 2005, 31 public listed companies as of 5 April 2008, after fulfilling the criteria ofPN17, were classified as financially distressed companies. The failure or bankruptcy of financially distressed companies is a...

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Main Author: Chhoa, Siew Phin
Format: Thesis
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2010
Subjects:
Online Access:http://ir.unimas.my/id/eprint/9041/3/Chhoa%20Siew%20Phin%20ft.pdf
http://ir.unimas.my/id/eprint/9041/
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spelling my.unimas.ir.90412024-02-05T04:17:34Z http://ir.unimas.my/id/eprint/9041/ Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies Chhoa, Siew Phin HG Finance K Law (General) ( under the provisions of Practice Note 17, issued by the Bursa Malaysia on 3 January 2005, 31 public listed companies as of 5 April 2008, after fulfilling the criteria ofPN17, were classified as financially distressed companies. The failure or bankruptcy of financially distressed companies is a serious threat to the many economic agents holding an interest in the distressed companies, namely; shareholders, managers, employees, bankers and clien~ Business failure involves not only many parties but large cost (both direct and indirect) as well. The main purpose of this paper is therefore to use financial variables to predict potential financially distressed firms using the logistic regression model. Then the predictive ability of the prediction model was analysed and the findings are encouraging and consistent for the sample analysed and the period of study. The results demonstrate that profitability; liquidity and leverage ratios are among the most significant ones. Universiti Malaysia Sarawak, (UNIMAS) 2010 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/9041/3/Chhoa%20Siew%20Phin%20ft.pdf Chhoa, Siew Phin (2010) Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies. Masters thesis, Universiti Malaysia Sarawak, (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic HG Finance
K Law (General)
spellingShingle HG Finance
K Law (General)
Chhoa, Siew Phin
Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies
description ( under the provisions of Practice Note 17, issued by the Bursa Malaysia on 3 January 2005, 31 public listed companies as of 5 April 2008, after fulfilling the criteria ofPN17, were classified as financially distressed companies. The failure or bankruptcy of financially distressed companies is a serious threat to the many economic agents holding an interest in the distressed companies, namely; shareholders, managers, employees, bankers and clien~ Business failure involves not only many parties but large cost (both direct and indirect) as well. The main purpose of this paper is therefore to use financial variables to predict potential financially distressed firms using the logistic regression model. Then the predictive ability of the prediction model was analysed and the findings are encouraging and consistent for the sample analysed and the period of study. The results demonstrate that profitability; liquidity and leverage ratios are among the most significant ones.
format Thesis
author Chhoa, Siew Phin
author_facet Chhoa, Siew Phin
author_sort Chhoa, Siew Phin
title Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies
title_short Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies
title_full Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies
title_fullStr Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies
title_full_unstemmed Prediction of financial distress companies on bursa Malaysia : an examination of PN17 companies
title_sort prediction of financial distress companies on bursa malaysia : an examination of pn17 companies
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2010
url http://ir.unimas.my/id/eprint/9041/3/Chhoa%20Siew%20Phin%20ft.pdf
http://ir.unimas.my/id/eprint/9041/
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score 13.211869