KETEPATAN MODEL PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN RETAIL DI INDONESIA

Kartikasari Kartikasari; Diyah Santi Hariyani

doi:10.29407/nusamba.v4i2.12651

Authors

Kartikasari Kartikasari Universitas PGRI Madiun
Diyah Santi Hariyani Universitas PGRI Madiun

DOI:

https://doi.org/10.29407/nusamba.v4i2.12651

Keywords:

Financial Distress, Ohlson Model, Fulmer Model, CA-Score Model, Zavgren Model.

Abstract

This study aims to analyze the condition of Financial Distress in retail companies listed on the Indonesian Stock Exchange in 2015-2017 using the Ohlson Model, Fulmer Model, CA-Score Model and Zavgren Model. The data used in this study was secondary data derived from the financial statements of retail companies found on the Indonesian Stock Exchange. The data analysis technique used was inferential statistics and Kruskal-Wallis test. The results of this study indicated that Ohlson's model is best at predicting Financial Distress in retail companies in Indonesia with an accuracy rate of 83.33%, CA-Score Model with 30% accuracy rate, as well as the Fulmer Model and Zavgren Model with an accuracy rate of 0.00 %

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