Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin

This study attempts to construct and test distress prediction models for Malaysian Companies. This study also observes and evaluates the classification and prediction error rates for the models developed by utilizing a sample of 84 distressed firms in 2001 and 2002 and a matched (by industry and fir...

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Main Author:	Nordin, Enylina
Format:	Thesis
Language:	English
Published:	2003
Subjects:	Financial management Business finance Corporation finance Analysis
Online Access:	https://ir.uitm.edu.my/id/eprint/59963/1/59963.pdf
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id	my-uitm-ir.59963
record_format	uketd_dc
spelling	my-uitm-ir.599632023-01-25T07:58:16Z Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin 2003 Nordin, Enylina Financial management. Business finance. Corporation finance Analysis This study attempts to construct and test distress prediction models for Malaysian Companies. This study also observes and evaluates the classification and prediction error rates for the models developed by utilizing a sample of 84 distressed firms in 2001 and 2002 and a matched (by industry and firm size) sample of 84 healthy firms. The models are constructed using pooled data and yearly data of 5 years prior to financial distress by employing logit maximum likelihood estimator as a statistical technique. Pooled data model utilize measures of current liabilities to total assets and total borrowings to total assets. The model demonstrates excellent and moderate accuracy of financial distress firms and healthy firms respectively. Meanwhile, the prediction accuracy for the five yearly models ranges from moderate to excellent for both distressed and healthy firms. The prediction accuracy remains almost at the same level when the models are applied to an independent holdout sample. In addition, the developed models seem to fit. In conclusion, the pooled data model can predict financial distress of a firm up to 5 years. However, the 5 yearly models are not useful in predicting the financial distress of the firm since the predictors are not consistent in each model. It is also believed that the developed model can be useful to different groups of users such as policy makers, financial institutions, creditors, managers, bankers, investors and shareholders for making investment decisions. 2003 Thesis https://ir.uitm.edu.my/id/eprint/59963/ https://ir.uitm.edu.my/id/eprint/59963/1/59963.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Accountancy
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Financial management Business finance Corporation finance Analysis
spellingShingle	Financial management Business finance Corporation finance Analysis Nordin, Enylina Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin
description	This study attempts to construct and test distress prediction models for Malaysian Companies. This study also observes and evaluates the classification and prediction error rates for the models developed by utilizing a sample of 84 distressed firms in 2001 and 2002 and a matched (by industry and firm size) sample of 84 healthy firms. The models are constructed using pooled data and yearly data of 5 years prior to financial distress by employing logit maximum likelihood estimator as a statistical technique. Pooled data model utilize measures of current liabilities to total assets and total borrowings to total assets. The model demonstrates excellent and moderate accuracy of financial distress firms and healthy firms respectively. Meanwhile, the prediction accuracy for the five yearly models ranges from moderate to excellent for both distressed and healthy firms. The prediction accuracy remains almost at the same level when the models are applied to an independent holdout sample. In addition, the developed models seem to fit. In conclusion, the pooled data model can predict financial distress of a firm up to 5 years. However, the 5 yearly models are not useful in predicting the financial distress of the firm since the predictors are not consistent in each model. It is also believed that the developed model can be useful to different groups of users such as policy makers, financial institutions, creditors, managers, bankers, investors and shareholders for making investment decisions.
format	Thesis
qualification_level	Master's degree
author	Nordin, Enylina
author_facet	Nordin, Enylina
author_sort	Nordin, Enylina
title	Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin
title_short	Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin
title_full	Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin
title_fullStr	Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin
title_full_unstemmed	Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin
title_sort	predicting financial distress using financial ratios: malaysian evidence / enylina nordin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Accountancy
publishDate	2003
url	https://ir.uitm.edu.my/id/eprint/59963/1/59963.pdf
_version_	1783735068505669632

Predicting financial distress using financial ratios: Malaysian evidence / Enylina Nordin

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