Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski)
PDF

How to Cite

Silvan, A. (2020). Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski). Hasanuddin Economics and Business Review, 3(3), 122–127. https://doi.org/10.26487/hebr.v3i3.2188

Abstract

Abstract

This study takes the topic of predicting corporate bankruptcies. This research dqlam use traditional methods Altman Z-Score and Zmijewski. The purpose of this study was to obtain in-depth information about predicting bankruptcy of companies that are not necessarily directly to bankruptcy, but there is financial distress.

Based on the results of research conducted on the four (4) non industrial manufacturing company listed on the Indonesia Stock Exchange (BEI). Obtaining the value z-score represents the average company are in good condition, which means no financial distress. Acquisition value of x-score has a value of less than 0 (zero) which means that the company is in good condition and is predicted not experiencing financial difficulties. This study led to the conclusion that the Altman Z-Score and Zmijewski method can be used to predict corporate bankruptcy.

 

Keywords: Financial Ratios, Bankruptcy, Company.

https://doi.org/10.26487/hebr.v3i3.2188
PDF

References

REFERENCES

Fahmi, Irham, 2015. Pengantar Manajemen Keuangan, Bandung: Penerbit Alfabeta.

Harahap, Sofyan Syafri. 2011. Teori Akuntansi (edisi revisi 2011). Jakarta: Penerbit Rajawali.

Harahap, Sofyan Syafri. 2015. Analisis Kritis atas Laporan Keuangan. Edisi 1-10. Jakarta: Penerbit Rajawali Pers.

Kasmir. 2018. Analisis Laporan Keuangan. Jakarta. PT Raja Grafindo Persada.

Munawir, 2014. Analisis Laporan Keuangan. Yogyakarta: Liberty.

Sugiyono. 2014. Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Penerbit Alfabeta.

Authors who publish in this journal agree to the following terms:

  1. The journal holds the copyright for each article published with work licensed simultaneously under a Creative Commons Attribution 4.0 International License, which allows others to share the work with an acknowledgement of the authorship and early publication of the work in this journal. 
  2. Authors must agree to the copyright transfer agreement by checking the Copyright Notice column at the initial stage when submitting the article.