ANALYSIS OF FINANCIAL DISTRESS IN VARIOUS INDUSTRIAL SECTOR COMPANIES LISTED ON THE BEI ​​FOR THE 2016-2021 PERIOD

Penulis

DOI:

https://doi.org/10.31000/dmj.v7i4.9370

Abstrak

Abstract

This study aims to detect financial distress in various industrial sector companies using the Modified Altman Z-Score Model (1995). Financial distress occurs when the company is in an unhealthy state but has not yet gone bankrupt. The population used is the various industrial sector companies for the 2016-2021 period. The sample in this study were 26 companies with a research period of 6 years so as to produce 156 samples obtained by purposive sampling technique. The data analysis technique used is descriptive statistical analysis and discriminant regression analysis using the SPSS statistical test tool. The results of this study indicate that the variables of WCTA, RETA, EBITA, and BVETL have a simultaneous effect on financial distress. Partially, the variable WCTA has no effect on financial distress. While partially RETA, EBITA, BVETL affect financial distress.

 

Keywords: Altman Z-Score Modification and Financial Distress

Referensi

Altman, E. I. (2016). Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman’s Z-Score Model. Journal of Internastional Financial Management & Accounting, 1-41.

Anggraeni. (2020). Pengaruh Profitabilitas, Likuiditas dan Leverage Terhadap Financial Distress (studi pada perusahaan sektor perdagangan, jasa dan investasi sub sektor perdagangan eceran yang terdaftar di BEI periode 2013-2017). Universitas Esa Unggul.

Bertuah, E. (2019). Bulls and Bears and Bankruptcy- An Early Warning of Distress. The Journal of Social Sciences Research, 95-102.

Cindik. (2021). A revision of Altman Z-Score model and a comparative analysis of Turkish companies’ financial distress prediction. National Accounting Review, 237-255.

Faisal. (2020). Mendeteksi Financial Distress dengan Model Altman Z-Score. Jurnal Ilmiah Akuntansi dan Humanika.

Ghozali. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS. Semarang : Badan Penerbit Universitas Diponegoro.

Haryanto. (2018). Memprediksi Perusahaan yang Berpotensi Mengalami Masalah Keuangan dengan Model Altman Springate dan Zmijewski (Studi pada Perusahaan Ritel yang Terdaftar di BEI Periode Tahun 2012-2016. Diponegoro Journal Of Management, 1-11.

Hendri. (2020). Pengaruh Leverage, Cashflow dan Working Capital terhadap Prediksi Kebangkrutan dengan Pertumbuhan Perusahaan Sebagai Variabel Moderating pada Perusahaan Jasa Transportasi yang Tercatat di Bursa Efek Indonesia Tahun 2013-2016. Forum Ilmiah.

Karlingsih. (2021). Analisis Financial Distress dengan Model Altman Z-Score. Jurnal Akuntansi dan Keuangan.

Laksono. (2021). Analisis Kebangkrutan Perusahaan dengan Menggunakan Metode Altman Z-Score (Studi kasus pada perusahaan pertambangan batubara periode 2016-2019). Universitas Esa Unggul .

Manika. (2017). Analisis Financial Distress Perusahaan Semen di BEI Periode 2011-2015 (Studi Kasus pada PT. Indocement Prakarsa Tbk, PT. Holcim Indonesia Tbk, dan PT. Semen Indonesia Tbk). Jurnal Ilmu Manajemen dan Bisnis, 15-24.

Marindah, R. d. (2021). Financial Distress Analysis in an Indonesian Textile Company. KnE Social Sciences, 602-621.

Nugraha. (2018). Financial Distress pada PT Panasia Indo Resources Tbk. Jurnal Inspirasi Bisnis dan Manajemen.

Pratiwi. (2021). Prediksi Kebangkrutan Menggunakan Metode Altman Z-Score Modifikasi pada PT Inti (Persero). Indonesian Journal of Economics and Management, 628-633.

Purwaningsih, E. (2018). The Influence of Value Added Intellectual Capital to Financial Performance with Ownership Structure as Moderatin. International Journal of Academic Research in Accounting, Finance, and Management Sciences, 277-290.

Santoso. (2019). Analisis Prediksi Kebangkrutan dengan Metode Altman Z-Score pada Perusahaan Retail Trade yang Terdaftar di BEI tahun 2014-2017. Jurnal Ilmiah M-Progress, 149-162.

Seilvia. (2021). Pengaruh Current Ratio, Working Capital Turnover dan Debt to Asset Ratio terhadap Financial Distress pada Perusahaan Manufaktur Sektor Otomotif periode 2015-2019. Universitas Esa Unggul.

Septyanto, D. (2020). Effect of Current Ratio, Debt to Assets Ratio, and Return on Assets on Financial Distress in Indonesi Stock Exchange. 1-17.

Sitorus, R. R. (2022). The Effect of Financial Literacy and Financial Education on Women's Healthy Financial Behavior through Investment Motivation. Jurnal Keuangan dan Perbankan 26 (2), 288-300.

Spence, M. (1973). Job Market Signaling . The Quarterly Journal of Economics, 355-374.

Susanto, N. &. (2019). Analisis Model Altman Untuk Memprediksi Kebangkrutan Pada Perusahaan Makanan dan Minuman. Jurnal Multiparadigma Akuntansi, 564-571.

Wardhani. (2021). Prediksi Kebangkrutan Pada PT Trikomsel Tbk Dengan Menggunakan Metode Altman Z-Score Modifikasi Periode 2012-2018. Indonesian Journal of Economics and Management, 444-453.

Widyawati. (2021). Pengaruh Kebangkrutan Terhadap Financial Distress Dengan Metode Z-Score Pada Perbankan di BEI. Jurnal Ilmu dan Riset Manajemen , 1-15.

Yulazri. (2022). Analisis Pengaruh Restrukturisasi Hutang Terhadap Return Saham Pada Perusahaan Go Publik di Bursa Efek Jakarta yang Melakukan Restrukturisasi pada Tahun 2003.

Yulianto. (2020). Analisis Financial Distress pada Perusahaan Pertambangan Sub Sektor Mineral dan Logam tahun 2014-2018. Journal Institut Bisnis dan Informatika Kosgoro 1957.

Yunindra. (2018). Analisa Rasio Keuangan Dalam Memprediksi Kebangkrutan Perusahaan Industri Sub Sektor Textile dan Garment yang Terdaftar di Bursa Efek Indonesia. Jurnal Ekonomi Universitas Borobudhur.

Unduhan

Diterbitkan

2023-10-30

Terbitan

Vol 7 No 4 (2023): October

Bagian

Articles

Lisensi

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