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All Journal Valid Jurnal Ilmiah
Rini Ridhawati
Universitas Mataram, Indonesia
Economics, Econometrics & Finance Social Sciences

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Menakar Tingkat Keakuratan Prediksi Financial Distress melalui Tiga Model Prediksi Pada Industri Otomotif Rini Ridhawati; Adhitya Bayu Suryantara
Valid: Jurnal Ilmiah Vol 20 No 2 (2023)
Publisher : Sekolah Tinggi Ilmu Ekonomi AMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53512/valid.v20i2.285

Abstract

The automotive industry is one of the mainstay sectors in spurring national economic growth. Indonesia has the second-largest car manufacturing industry in the ASEAN region. However, based on data from the combined car and motorcycle tool industry (GIAMM), in 2018, the export value was lower than the import value of automotive components, resulting in a deficit of hundreds of millions of US dollars. This condition allows companies to experience financial distress due to decreased company productivity. This study aims to compare the financial distress prediction model in the automotive industry listed on the Indonesia Stock Exchange using the Altman, Grover, and Springgate models. The results of this study indicate that the Altman model is the most accurate predictor of financial distress, with an accuracy rate of 87%, followed by the Grover model with 84% and the Springate model with 80%.
Menakar Tingkat Keakuratan Prediksi Financial Distress melalui Tiga Model Prediksi Pada Industri Otomotif Rini Ridhawati; Adhitya Bayu Suryantara
Valid: Jurnal Ilmiah Vol. 20 No. 2 (2023)
Publisher : Sekolah Tinggi Ilmu Ekonomi AMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53512/valid.v20i2.285

Abstract

The automotive industry is one of the mainstay sectors in spurring national economic growth. Indonesia has the second-largest car manufacturing industry in the ASEAN region. However, based on data from the combined car and motorcycle tool industry (GIAMM), in 2018, the export value was lower than the import value of automotive components, resulting in a deficit of hundreds of millions of US dollars. This condition allows companies to experience financial distress due to decreased company productivity. This study aims to compare the financial distress prediction model in the automotive industry listed on the Indonesia Stock Exchange using the Altman, Grover, and Springgate models. The results of this study indicate that the Altman model is the most accurate predictor of financial distress, with an accuracy rate of 87%, followed by the Grover model with 84% and the Springate model with 80%.
Co-Authors Adhitya Bayu Suryantara