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.
EA18293.pdf
Restricted to Repository staff only
File Pdf (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.
| Item Type: | Thesis (S1) |
|---|---|
| Uncontrolled Keywords: | Bankruptcy Prediction, Altman Model, Springate Model, Ohlson Model |
| Subjects: | Financial Accounting > Financial Accounting |
| Divisions: | Fakultas Ekonomi > Akuntansi Internasional |
| Date Deposited: | 03 Jan 2018 08:54 |
| Last Modified: | 03 Jan 2018 08:54 |
| URI: | https://repository.uajy.ac.id/id/eprint/13326 |
