Financial Distress Analysis Using Altman (Z-Score), Springate (S-Score), Zmijewski (X-Score), and Grover (GScore) Models in the Tourism, Hospitality and Restaurant Subsectors Listed on the Indonesia Stock Exchange Period 2015-2019
Year: 2021
Type: conference-paper
Abstract: 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.
Institutions: Pakuan University, Tun Hussein Onn University of Malaysia
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4388484534