BANKRUPTCY PREDICTION ANALYSIS USING THE ZMIJEWSKI MODEL (X-SCORE) AND THE ALTMAN MODEL (Z-SCORE) | Zendy

Viciwati Viciwati | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

BANKRUPTCY PREDICTION ANALYSIS USING THE ZMIJEWSKI MODEL (X-SCORE) AND THE ALTMAN MODEL (Z-SCORE)

Author(s) -

Viciwati Viciwati

Publication year - 2020

Publication title -

dinasti international journal of economics finance and accounting

Language(s) - English

Resource type - Journals

eISSN - 2721-303X

pISSN - 2721-3021

DOI - 10.38035/dijefa.v1i5.608

Subject(s) - bankruptcy , stock exchange , bankruptcy prediction , normality test , standard score , financial distress , statistics , normality , econometrics , financial ratio , mathematics , actuarial science , psychology , economics , statistical hypothesis testing , accounting , finance , financial system

This study aims to identify and analyze the accurate models of Financial Distress in retail companies listed on the Indonesian Stock Exchange in 2014-2018 using the Zmijewski (X-Score) and Altman (Z-Score) Model. The sample used is 70. This study uses secondary data from the 2014-2018 annual financial reports. This study tested the hypothesis using the normality test and the Kruskal Wallis test or the difference test using SPSS version 26. The results of this study indicate that the Zmijewski (X-Score) model is the model that has the highest accuracy rate in predicting bankruptcy with an accuracy rate of 90%.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research