Predicting corporate failure of Malaysia Listed firm

Corporate failures are known to have high economic cost due to its impact on the investor, creditors, auditors, market analysts, loan officer and also to the management and employees of the affected companies. Due to this reason, over the years there are a lot of the studies on the prediction of cor...

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Main Author: Wong, Colin Tiing Ping
Format: Thesis
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2013
Subjects:
Online Access:http://ir.unimas.my/id/eprint/9081/
http://ir.unimas.my/id/eprint/9081/3/Predicting%20Corporate%20Failure%20Of%20Malaysia%20Listed%20Firm.pdf
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author Wong, Colin Tiing Ping
author_facet Wong, Colin Tiing Ping
author_sort Wong, Colin Tiing Ping
building UNIMAS Institutional Repository
collection Online Access
description Corporate failures are known to have high economic cost due to its impact on the investor, creditors, auditors, market analysts, loan officer and also to the management and employees of the affected companies. Due to this reason, over the years there are a lot of the studies on the prediction of corporate failure. Those models are including univariate analysis, risk index model, multivariate discriminant analysis and conditional probability model. In this study, the logistic regression is selected to predict the corporate failure. There are 86 unhealthy firms and another 86 healthy firms are selected in this study. The variable used in the study will different from the previous study which is only choosing the traditional financial ratio. In this study, it also evaluates the usefulness of the new selected financial ratio to predict the firm failure in Malaysia.
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spelling unimas-90812023-05-18T07:15:19Z http://ir.unimas.my/id/eprint/9081/ Predicting corporate failure of Malaysia Listed firm Wong, Colin Tiing Ping HC Economic History and Conditions Corporate failures are known to have high economic cost due to its impact on the investor, creditors, auditors, market analysts, loan officer and also to the management and employees of the affected companies. Due to this reason, over the years there are a lot of the studies on the prediction of corporate failure. Those models are including univariate analysis, risk index model, multivariate discriminant analysis and conditional probability model. In this study, the logistic regression is selected to predict the corporate failure. There are 86 unhealthy firms and another 86 healthy firms are selected in this study. The variable used in the study will different from the previous study which is only choosing the traditional financial ratio. In this study, it also evaluates the usefulness of the new selected financial ratio to predict the firm failure in Malaysia. Universiti Malaysia Sarawak, (UNIMAS) 2013 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/9081/3/Predicting%20Corporate%20Failure%20Of%20Malaysia%20Listed%20Firm.pdf Wong, Colin Tiing Ping (2013) Predicting corporate failure of Malaysia Listed firm. Masters thesis, Universiti Malaysia Sarawak, (UNIMAS).
spellingShingle HC Economic History and Conditions
Wong, Colin Tiing Ping
Predicting corporate failure of Malaysia Listed firm
title Predicting corporate failure of Malaysia Listed firm
title_full Predicting corporate failure of Malaysia Listed firm
title_fullStr Predicting corporate failure of Malaysia Listed firm
title_full_unstemmed Predicting corporate failure of Malaysia Listed firm
title_short Predicting corporate failure of Malaysia Listed firm
title_sort predicting corporate failure of malaysia listed firm
topic HC Economic History and Conditions
url http://ir.unimas.my/id/eprint/9081/
http://ir.unimas.my/id/eprint/9081/3/Predicting%20Corporate%20Failure%20Of%20Malaysia%20Listed%20Firm.pdf