ANALYSIS OF BANKRUPTCY PREDICTION USING ALTMAN Z-SCORE, SPRINGATE SCORE, AND OHLSON O-SCORE ON LISTED MANUFACTURING COMPANY AT IDX (2013-2015)

Kristianto, Edi (2017) ANALYSIS OF BANKRUPTCY PREDICTION USING ALTMAN Z-SCORE, SPRINGATE SCORE, AND OHLSON O-SCORE ON LISTED MANUFACTURING COMPANY AT IDX (2013-2015). S1 thesis, UAJY.

Text (EAI18293) EA18293.pdf Restricted to Repository staff only Download (7MB)

Abstract

This research is aimed to examines the most accurate in predicts bankruptcy with matching process between result of bankruptcy prediction with audit opinion. Bankruptcy prediction models are Altman model, Springate model, and Ohlson model with 372 observations of manufacture companies listed in IDX from 2013- 2015. Based on data analysis, conclusion of this research is Springate bankruptcy prediction model is the most accurate model predicts bankruptcy between three models, which are Altman model, Springate model, and Ohlson model. Level of bankruptcy prediction accuracy of Springate model have significant difference compares to level of bankruptcy prediction accuracy of other two models. In addition, Springate model have the biggest number of accurate bankruptcy prediction and have the smallest number of inaccurate bankruptcy prediction between those three bankruptcy prediction models.

Actions (login required)

View Item