Financial Distress Analysis of Plantation Stocks on the Indonesia Stock Exchange
DOI:
https://doi.org/10.38035/jafm.v5i1.519Keywords:
Financial Distress, Fisrst model Altman Z-Score, Revision, Modification, Springate, ZmijewskiAbstract
This research is to see the financial performance of companies using 5 models of analysis of potential financial distress, namely the first Altman Z score model, revision, modification, Springate and Zmijewski on plantation stock issuers as many as 11 out of 21 companies on the Indonesia Stock Exchange. This model of potential financial distress can be used in public and private companies with various company sizes, which will be useful for early detection of the company's financial performance and the sustainability of the company's operations in the future. This analysis of the calculation of potential financial distress uses the help of the Microsoft Excel program. The results of this study conclude that the issuers of company stocks that have good financial performance based on the potential for financial distress using the 5 models, namely issuers with LSIP and SMAR codes who have never experienced financial distress at all in the research period.
References
Altman, E.I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23: 589-609.
Darmawan, Deni. (2014). Metode Penelitian Kuantitatif. Bandung: PT. Remaja Rosdakarya
Doumpos, M. & Zouponidis, C. (1999). A Multicriteria Discrimination Method for Prediction of Financial Distress: The Case of Greece. Multinational Finance Journal, 3(2): 71-101.
Hanafi M. Mamduh & Halim Abdul. (2016). Analisis Laporan Keuangan, Edisi ke-5, Yogyakarta:UPP STIM YKPN
Kokyung, K., & Khairani, S. (2014). Analisis Penggunaan Altman Z-score dan Springate untuk Mengetahui Potensi Kebangkrutan pada PT. Bakrie Telecom Tbk.
Lau, A.H. (1987). A Five State Financial Distress Prediction Model. Journal of Accounting Research, 25: 127138.
Platt, H.D. & Platt, M.B. (1990). Development of a Class of Stable Predictive Variables: The Case of Bankruptcy Predictions. Journal of Business Finance & Accounting, 17: 31-51
Platt, H., dan M. B. Platt. (2002). Predicting Financial Distress, Journal of Financial Service Professionals.
Ramadhani, A. S., & Lukviarman, N. (2009). Perbandingan analisis prediksi kebangkrutan menggunakan Model Altman pertama, Altman revisi, dan altman modifikasi dengan ukuran dan umur perusahaan sebagai variabel penjelas (studi pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia). Jurnal Siasat Bisnis, 13(1).
Surono, Y., & Pangestu, S. D. (2019). Analisis Kinerja Keuangan Sektor Manufacture dengan Multiple Discriminant Analysis Bankcruptcy Model di Bursa Efek Indonesia Periode 2014–2017. J-MAS (Jurnal Manajemen dan Sains), 4(2), 298-306.
Zmijewski, M.E. (1984). Methodological Issues Related to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research, 22: 59-82.
www.idx.co.id.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Yunan Surono, Adria Wuri Lastari
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish their manuscripts in this journal agree to the following conditions:
- The copyright on each article belongs to the author(s).
- The author acknowledges that the Journal of Accounting and Finance Management (JAFM) has the right to be the first to publish with a Creative Commons Attribution 4.0 International license (Attribution 4.0 International (CC BY 4.0).
- Authors can submit articles separately, arrange for the non-exclusive distribution of manuscripts that have been published in this journal into other versions (e.g., sent to the author's institutional repository, publication into books, etc.), by acknowledging that the manuscript has been published for the first time in the Journal of Accounting and Finance Management (JAFM).