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dc.contributor.authorYee, Hun Leek
dc.contributor.supervisorJunaid Shaikhen_US
dc.date.accessioned2019-05-20T05:38:09Z
dc.date.available2019-05-20T05:38:09Z
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/75450
dc.description.abstract

The framework used in this study, to predict financial distress amongst the Public Listed Companies (PLCs) in Malaysia, utilizes the 5-variables Altman’s Z-Score Model as the base model and the Auditors’ Opinion on going concern as the 6th variable. Multiple Discriminant Analysis (MDA) and Logistic Regression Analysis (LRA) have been employed, and the revised 6-variables model developed using LRA has the highest accuracy to predict financial distress amongst the PLCs in Malaysia.

en_US
dc.publisherCurtin Universityen_US
dc.titlePredicting Financial Distress Amongst Public Listed Companies in Malaysia using Altman’s Z-Score Model and Auditors’ Opinion on Going Concernen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentAccounting and Financeen_US
curtin.accessStatusOpen accessen_US
curtin.facultyBusiness and Lawen_US


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