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    Predicting Financial Distress Amongst Public Listed Companies in Malaysia using Altman’s Z-Score Model and Auditors’ Opinion on Going Concern

    Yee HL 2018.pdf (3.569Mb)
    Access Status
    Open access
    Authors
    Yee, Hun Leek
    Date
    2018
    Supervisor
    Junaid Shaikh
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Business and Law
    School
    Accounting and Finance
    URI
    http://hdl.handle.net/20.500.11937/75450
    Collection
    • Curtin Theses
    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.

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