Analysis Of Potential Financial Distress Using Altman Z-Score Method (Study on Companies Listed in the LQ45 Index on the Indonesian Stock Exchange)

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Anggi Siska Madona
Dyah Ayu Paramitha

Abstract

Research aim: The purpose of this study was to determine the company's financial condition and predict the potential for financial distress in companies listed on the LQ45 Stock Index for the 2020-2022 Period on the Indonesia Stock Exchange using the Altman Z-Score method.


Design/Methode/Approach: The approach used in this research is a quantitative approach. The use of a quantitative approach with this descriptive method emphasizes the data processed by the Altman Z-Score method which is measurable, rational and systematic.


Research Finding: From the results of data processing, although the companies listed on the LQ45 index have good financial conditions and growth prospects, it is still possible to experience corporate threats. By looking at the company's financial statements, all information regarding the financial position will be known, the company's financial health condition and can be known the performance and changes in the company's financial position which are used for decision making by company stakeholders.


Theoretical contribution/Originality: The Altman Z-Score method is a method that can get an estimated accuracy rating of up to 95% and is the most complex method and makes calculations more effective for knowing and predicting potential financial distress.


Practitionel/Policy implication: Information obtained from the company's financial statements can be used as a reference to determine the potential for the company's bad condition. So the company can anticipate companies that may experience financial distress. With the Altman Z-Score method that is effective in predicting so that the company can improve the condition of the company so that it can bounce back.


Research limitation: More than 45 samples of companies listed in the LQ45 index for the period 2020-2022 which include companies with high levels of liquidity and market capitalization. Research limitations are companies listed in the LQ45 Index that present complete financial reports and data for the 2020-2022 period in accordance with the variables studied.


 

Article Details

How to Cite
Madona, A. S., & Paramitha, D. A. (2024). Analysis Of Potential Financial Distress Using Altman Z-Score Method : (Study on Companies Listed in the LQ45 Index on the Indonesian Stock Exchange). Kilisuci International Conference on Economic &Amp; Business, 2, 575–588. Retrieved from https://proceeding.unpkediri.ac.id/index.php/kilisuci/article/view/4219
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References

Aminuddin. Review of the effect of net profit on the type of food and beverage company on the Indonesia Stock Exchange. J Manaj Tools ISSN 2088-3145. 2021; 13(2).

Rahmayanti A. The Effect of Risk, Return, and the Indonesian Economy on Stock Investment Decisions During Covid-19. HUMANIST (Humanities, Management, Sci Proceedings). 2021; 1(2):26–45.

Financial Services Authority. Capital Market. Vol. 53, Capital Markets Financial Literacy. 2016. 1689–1699 p.

Noviani. THE EFFECT OF FINANCIAL RATIOS IN DETECTING FINANCIAL DISTRESS IN PROPERTY AND REAL ESTATE COMPANIES LISTED ON THE IDX 2019 – 2022. Simp Manaj and Business II [Internet]. 2023; 1–14. Available from: https://www.ncbi.nlm.nih.gov/books/NBK558907/

Wiyati R, Maryanti S, Thamrin M. Use of Altman Method (Z Score) in Predicting Financial Distress (Case Study at Pt. Binakarya Jaya Abadi Tbk) for the 2017-2019 period. J Competitiveness. 2022; 8(3):284–92.

Sugiyono. Quantitative, Qualitative and R&D Research Methods. Bandung: Alfabeta; 2019.

Rukminingsih, Adnan L. Educational Research Methods. 2020.

Ayuningtiyas IS. THE EFFECT OF LIQUIDITY, PROFITABILITY, LEVERAGE AND CASH FLOW. J Science and Ris Akunt. 2019; 8(1).