Bankruptcy Analysis Using the Altman Z-Score Model (Study on Retail Companies Listed on the Indonesia Stock Exchange)
1Abdul Rohim, 2Widy Taurus Sandy, 3Achmad Hilal Akbar Ramadhan, 4Agus Taufik Hidayat
1,2,3,4STIE PGRI Dewantara
https://doi.org/10.47191/jefms/v7-i9-03ABSTRACT:
Bankruptcy is a legal or economic event that often results in the complete cessation of all business activities and operations. This bankruptcy usually starts with liquidity problems, but is closely linked to situations where a company's debt exceeds its total assets. The objective of this study is to evaluate the effectiveness of the Altman Z-score model as a tool to predict bankruptcy. The main focus of this study is retail companies listed on the Indonesia Stock Exchange in 2021-2023. 31 companies participated in the study, supported by 93 financial statements. The researchers used purposive sampling method for the sampling process. The study uses the modified Altman Z-score method (1995) to analyze the obtained data. The analysis revealed that 17 companies (54.8%) could be classified as healthy. 3 companies (9.7%) were classified as weak, and 11 companies (36.7%) were expected to go bankrupt. These results provide insight into the financial health of the retail companies surveyed and highlight the importance of using predictive models to determine bankruptcy risk.
KEYWORDS:
Altman Z-Score, Bankruptcy, Financial Ratios
REFERENCES:
1) Abdulshakour, S. (2020). Impact of financial statements for financial decision-making. Open Science Journal, 5(2), 1–31. https://doi.org/10.23954/osj.v5i2.2260
2) Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 29(1), 312–312. https://doi.org/10.1111/j.1540-6261.1974.tb00057.x
3) Altman, E. I., Eom, Y. H., and Kim, D. W. (1995). Failure Prediction: Evidence from Korea. Journal of International Financial Management & Accounting, 6(3), 230–249. https://doi.org/10.1111/j.1467-646X.1995.tb00058.x
4) Altman, E. I., and Spivack, J. (1983). Predicting Bankruptcy: The Value Line Relative Financial Strength System vs. the Zeta® Bankruptcy Classification Approach. Financial Analysts Journal, 39(6), 60–67. https://doi.org/10.2469/faj.v39.n6.60
5) Beaver, W. H. (1968). Market Prices, Financial Ratios, and the Prediction of Failure. Journal of Accounting Research, 6(2), 179. https://doi.org/10.2307/2490233
6) Buele, I., Mora, A., and Santiago, S. (2021). Ecuadorian Wholesale and Retail Trade Companies: Analysis of the Financial Situation and Bankruptcy Forecast Under Altman Z-score. Academy of Accounting and Financial Studies Journal, 25(1), 1–11.
7) El-Haj, M., Alves, P., Rayson, P., Walker, M., and Young, S. (2020). Retrieving, classifying and analysing narrative commentary in unstructured (glossy) annual reports published as PDF files. Accounting and Business Research, 50(1), 6–34. https://doi.org/10.1080/00014788.2019.1609346
8) Ellias, J. A., and Stark, R. J. (2020). Bankruptcy Hardball. California Law Review, 108(3), 745–787. https://www.jstor.org/stable/26977921
9) Fahira, A. D. (2021). Analisis Pengaruh Teknologi Digital Terhadap Pertumbuhan Ekonomi ( Studi Kasus Wilayah Asia Tenggara. Jurnal Ilmiah Ilmu Ekonomi Fakultas Ekonomi Dan Bisnis Univesitas Brawijaya, 1–11.
10) Fisher, R. A. (1936). The Use of Multiple Measurements inTaxonomic Problems. The Annals of Human Genetics, 1(1), 1–8. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1469-1809.1936.tb02137.x
11) Gordon, M. J. (1971). Towards a Theory of Financial Distress. The Journal of Finance, 26(Papers and Proceedings of the Thirty-Fifth Annual Meeting of the American Finance Association), 347–356. http://www.jstor.org/stable/2326758
12) Lubis, M. H. R., and Kusuma, I. G. K. C. B. A. (2022). Analisis Pertumbuhan Investor Ritel Pada Masa Pandemi Dan Implikasi Pajak Penghasilan Final Atas Penjualan Saham Di Bursa. Jurnal Pajak Indonesia (Indonesian Tax Review), 6(2), 245–264. https://doi.org/10.31092/jpi.v6i2.1854
13) Patton, M. Q. (1990). Qualitative evaluation and research methods, 2nd ed. In Qualitative evaluation and research methods, 2nd ed. Sage Publications, Inc.
14) Pertiwi, D., and Putri, A. G. (2021). Analisis Prediksi Financial Distress Dengan Menggunakan Model Altman Z-Score Pada Perusahaan Ritel Tahun 2018-2020. JURNAL KEUNIS (Keuangan Dan Bisnis), 9(2), 132–144. a. https://jurnal.polines.ac.id/index.php/keunis%0AANALISIS
15) Priego-de-la-Cruz, A. M., Alfaro-Cortés, E., and Manzaneque-Lizano, M. (2020). Understanding the stakeholders’ role in a business failure situation: An empirical boosting approach. Spanish Accounting Review, 23(1), 113–126.
16) Raharjo, T., Sulaeman, A. S., and Ubed, R. S. (2023). Turbulensi Lingkungan dan Kapasitas Strategi Perusahaan Ritel pada PT. Hero Supermarket Tbk. Bisman (Bisnis Dan Manajemen): The Journal of Business and Management, 6(2), 1–14. https://www.ncbi.nlm.nih.gov/books/NBK558907/
17) Spence, M. (1973). Job Market Signaling. The Quarterly Journal of Economics, 87(3), 355–374. http://www.jstor.org/stable/1882010
18) Srebro, B., Mavrenski, B., Arsić, V. B., Knežević, S., Milašinović, M., and Travica, J. (2021). Bankruptcy risk prediction in ensuring the sustainable operation of agriculture companies. Sustainability (Switzerland), 13(14), 1–17. https://doi.org/10.3390/su13147712
19) Svenson, H. K. (1945). On The Descriptive Method Of Linnaeus. Rhodora, 47(562), 273–302. a. http://www.jstor.org/stable/23304637
20) Vitolla, F., Raimo, N., Rubino, M., and Garzoni, A. (2019). How pressure from stakeholders affects integrated reporting quality. Corporate Social Responsibility and Environmental Management, 26(6), 1591–1606. a. https://doi.org/10.1002/csr.1850
