Analysis of Financial Distress Model with Altman, Zmijewski and CA Score in Predicting the Condition of Financial Distress in Manufacturing Public Companies in Indonesia Cover Image

Analysis of Financial Distress Model with Altman, Zmijewski and CA Score in Predicting the Condition of Financial Distress in Manufacturing Public Companies in Indonesia
Analysis of Financial Distress Model with Altman, Zmijewski and CA Score in Predicting the Condition of Financial Distress in Manufacturing Public Companies in Indonesia

Author(s): Riyana Sari, Mokhamad Anwar, Leni Susanti
Subject(s): Accounting - Business Administration
Published by: Editura Universitară & ADI Publication
Keywords: Altman Score; Zmijewski Score; Financial distress;

Summary/Abstract: The purpose of this paper is to test the accuracy of the prediction model by Altman, Zmijewski, CA Score in predicting the condition of financial distress of manufacturing companies listed on the Indonesia Stock Exchange. The research method used in this research is descriptive and comparative method. The statistical test used in this study is the discriminant method and the Nested Test. The test results show that the CA-Score model is more accurate than the discriminant research model for each calculation of accuracy every year and for each model.

  • Issue Year: 5/2019
  • Issue No: 1
  • Page Range: 114-131
  • Page Count: 18
  • Language: English
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