Altman Z-Score and Zmijewski X-Score Models on Performance to Assess the Bankruptcy Risk of Mining Companies on IDX Indonesia 2018-2022

Financial Distress Analysis is a method used to assess the financial condition of a company. This information is crucial for the company and stakeholders in the decision-making process. This research aims to project the potential financial distress of mining companies listed on the Indonesia Stock Exchange during the 2018-2022 period, using the Altman Z-Score and Zmijewski X-Score methods on financial performance. The research applied quantitative methods, with a descriptive and a different test assessment. Data analysis was carried out using the calculation of Altman Z-Score and Zmijewski X-Score using SPSS version 27. The results showed that over five years, out of 31 mining companies, the X-Score model had a significant value of 0.00 < 0.05 on performance, indicating that this method is good for use in mining companies. In conclusion, investors are advised to consider these findings when making investment decisions in the mining sector experiencing financial distress.

Authors

Institutions

Publication Details

Journal
JBTI Jurnal Bisnis Teori dan Implementasi
Published
2024-12-31
DOI
https://doi.org/10.18196/jbti.v15i3.24281
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Altman Z-Score and Zmijewski X-Score Models on Performance to Assess the Bankruptcy Risk of Mining Companies on IDX Indonesia 2018-2022

Tresya Nerotumilena, Jaka Winarna
JBTI Jurnal Bisnis Teori dan Implementasi
Financial Distress and Bankruptcy Prediction
article

Altman Z-Score and Zmijewski X-Score Models on Performance to Assess the Bankruptcy Risk of Mining Companies on IDX Indonesia 2018-2022

Tresya Nerotumilena, Jaka Winarna
article en

Abstract

Financial Distress Analysis is a method used to assess the financial condition of a company. This information is crucial for the company and stakeholders in the decision-making process. This research aims to project the potential financial distress of mining companies listed on the Indonesia Stock Exchange during the 2018-2022 period, using the Altman Z-Score and Zmijewski X-Score methods on financial performance. The research applied quantitative methods, with a descriptive and a different test assessment. Data analysis was carried out using the calculation of Altman Z-Score and Zmijewski X-Score using SPSS version 27. The results showed that over five years, out of 31 mining companies, the X-Score model had a significant value of 0.00 < 0.05 on performance, indicating that this method is good for use in mining companies. In conclusion, investors are advised to consider these findings when making investment decisions in the mining sector experiencing financial distress.

JBTI Jurnal Bisnis Teori dan ImplementasiVol. 15(3)
Sebelas Maret University (ID)
Universitas Sebelas Maret, Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 57%
Financial Distress and Bankruptcy Prediction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Altman Z-Score and Zmijewski X-Score Models on Performance to Assess the Bankruptcy Risk of Mining Companies on IDX Indonesia 2018-2022 — Tresya Nerotumilena, Jaka Winarna · JBTI Jurnal Bisnis Teori dan Implementasi (2024) | TGRS Research Map | TGRS