11th Annual International Conference on Industrial Engineering and Operations Management

Financial Distress Analysis Using Altman (Z-Score), Springate (S-Score), Zmijewski (X-Score), and Grover (G-Score) Models in the Tourism, Hospitality and Restaurant Subsectors Listed on the Indonesia Stock Exchange Period 2015-2019

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Track: Operations Management

Financial Distress Analysis is one way to determine the condition of a company. This information is very important for companies and stakeholders in making decisions. The purpose of this study is to calculate the score from the model used, namely Altman (Z-Score), Springate (S-Score), Zmijewski (X-Score), and Grover (G-Score) and to test or analyze the level of accuracy of each other in the Tourism, Hospitality and Restaurant subsector listed on the Indonesia Stock Exchange period 2015-2019. This research methodology is descriptive quantitative using secondary data with purposive sampling technique and the analysis method is quantitative analysis using the Altman (Z-Score), Springate (S-Score), Zmijewski (X-Score), and Grover (G-Score). The results of this study indicate that the Springate model (S-Score) has the highest level of accuracy in predicting financial distress, which is 68.75% higher than the other three models. 

Published in: 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Singapore

Publisher: IEOM Society International
Date of Conference: March 7-11, 2021

ISBN: 978-1-7923-6124-1
ISSN/E-ISSN: 2169-8767