Abstract

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%.

Highlights

  • Changing economic conditions will certainly have an impact on economic sectors, the trade sector

  • The results showed that eleven companies experienced bankruptcy for the period 2012-2017 based on the Altman Zmijewski (X-Score) and Altman (Z-Score), Springate, and Zmijewski models

  • This study is intended to analyze the comparison of the prediction of Finacial Distress with the Zimjewski (X-core) model and the Altman (Z-Score) model of the 2015 - 2017 study and which is the best model used in predicting financial distress in retail companies

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Summary

Introduction

Changing economic conditions will certainly have an impact on economic sectors, the trade sector. Retail business is a business activity that includes selling goods or services directly to end consumers which are used for personal, family, or household needs (Utami, 2008). With the existence of an online store, it hurts offline stores, if before the consumers shop for their needs at offline stores, consumers have started to switch to online shop transactions. This is what causes people's attractiveness to offline stores or commonly called retailers to decline and not develop.

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