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

Andi Silvan

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.


Full Text:

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.




DOI: http://dx.doi.org/10.26487/hebr.v3i3.2188

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Hasanuddin Economics and Business Review

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

______________________________________________________________________

Hasanuddin Economics and Business Review (ISSN Print: 2549-3221 | ISSN Online: 2549-323X ) is licensed under a Creative Commons Attribution 4.0 International License. Preserved in LOCKSS, based at Stanford University Libraries, United Kingdom, through PKP Private LOCKSS Network program.

 

Indexing and Abstracting: