Analysis of Financial Distress Predictions Using Altman, Zavgren, Fulmer, Ohlson, Taffler, and Ca-Score Models as Early Warning Systems in Manufacturing Companies

Authors

  • Erfina Dukalang Program Studi Akuntansi, Fakultas Ekonomi dan Bisnis, Universitas Khairun
  • Irfan Zamzam Program Studi Akuntansi, Fakultas Ekonomi dan Bisnis, Universitas Khairun
  • Zulkifli Abu Program Studi Akuntansi, Fakultas Ekonomi dan Bisnis, Universitas Khairun

DOI:

https://doi.org/10.21831/nominal.v13i1.65081

Abstract

ABSTRACT

This research aims to analyze the application of the Altman, Zavgren, Fulmer, Ohlson, Taffler, and CA-Score models as early warning systems, as well as the differences in the ability of the accuracy level of the six early warning system models to predict financial distress and which of the six prediction models is most accurate and is most accurate in predicting financial distress. The sampling technique in this research was with purposive sampling criteria. The analysis technique is to use financial distress prediction models. The results showed that the highest and most reliable method for forecasting financial trouble in this research was the CA-Score model which had an accuracy rate of 97.14% and error type II of 2.86%. compared to Altman, Zavgren, Ohlson, Taffler, and CA-Score models. Then, followed by the Ohlson model whose accuracy rate is 94.29% and error type II of 5.71%.

Keywords: Financial Distress, Altman, Zavgren, Fulmer, Ohlson, Taffler, CA-Score

ABSTRAK

Penelitian ini bertujuan untuk menganalisis penerapan model Altman, Zavgren, Fulmer, Ohlson, Taffler, dan CA-Score sebagai early warning system, serta adanya perbedaan kemampuan tingkat akurasi dari keenam model early warning system dalam memprediksi financial distress dan manakah diantara enam model prediksi yang mempunyai tingkat akurasi tertinggi dan paling akurat dalam memprediksi financial distress. Teknik menentukan sampel pada penelitian ini dengan kriteria purposive sampling. Teknik analisis ialah menggunakan model-model prediksi financial distress. Hasil penelitian menunjukkan kalau model tertinggi dan sangat akurat dalam memprediksi financial distress untuk studi penelitian ini adalah model CA-Score yang tingkat akurasi sebesar 97,14% dan tipe error II sebesar 2,86%. dibandingkan model Altman, Zavgren, Ohlson, Taffler, dan CA-Score. Kemudian, diikuti model Ohlson dengan tingkat akurasi sebesar 94,29% dan tipe error II sebesar 5,71%.

Kata Kunci: Financial Distress, Altman, Zavgren, Fulmer, Ohlson, Taffler, CA-Score

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Published

2024-04-29

How to Cite

[1]
Dukalang, E. et al. 2024. Analysis of Financial Distress Predictions Using Altman, Zavgren, Fulmer, Ohlson, Taffler, and Ca-Score Models as Early Warning Systems in Manufacturing Companies. Nominal: Barometer Riset Akuntansi dan Manajemen. 13, 1 (Apr. 2024), 81–97. DOI:https://doi.org/10.21831/nominal.v13i1.65081.

Issue

Vol. 13 No. 1 (2024): Nominal April 2024

Section

Articles

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