scholarly journals MODEL ALTMAN Z-SCORE UNTUK MEMPREDIKSI FINANCIAL DISTRESS : STUDI EMPIRIS PADA INDUSTRI MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

JURNAL PUNDI ◽  
2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Lidya Martha ◽  
Sri Mardhatillah ◽  
Zusmawati Zus

Financial distress is the financial difficulties experience by a company before the company become bankruptcy (Mafiroh, 2016). The purpose of this study was to determine which firms would be predicted financial distress. The population in this research is manufacturing companies listed in Indonesia Stock Exchange in 2015. In this study, the population is used 365 companies. The process of collecting samples are using purposive sampling method. The model used to analyze the rate of financial distress is Altman Z-Score Model. The results showed that of the 15 companies that were sampled 5 (five) of them were healthy (>2,99), 2 (two) of them were financial distress (<1,81) and 8 (eight) indicated in grey area (1,81 – 2,99).  

2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.


2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.


2017 ◽  
Vol 22 (3) ◽  
Author(s):  
Michelle Kristian

The objective of this research was to examine the directors size and shareholderequity ratio towards financial distress. In this research, directors size measured by its size and shareholder equity ratio measured by comparing shareholder equity to total assets, while financial distress was measured by Altman Z-Score Model with five ratios.The object in this research was companies that are experiencing financial distress and were listed at Indonesia Stock Exchange (IDX) for period 2012 until 2015. The sample was selected by using purposive sampling method and the secondary data used in this research was analyzed by using multiple regression method. In total, there were 22 companies that fulfill the requirements set by the researcher.The results of this research were directors size and shareholder equity ratio simultaneously had significant effect on financial distress. Directors size had no positive effect on financial distress and Shareholder equity ratio had positive significant effect on financial distress. Tujuan dari penelitian ini adalah untuk menguji ukuran direksi dan rasio ekuitas pemegang saham terhadap tekanan keuangan. Dalam penelitian ini, ukuran direksi diukur dengan ukuran dan rasio ekuitas pemegang saham yang diukur dengan membandingkan ekuitas pemegang saham dengan total aset, sedangkan financial distress diukur dengan Altman Z-Score Model dengan lima rasio. Objek dalam penelitian ini adalah perusahaan yang mengalami financial distress. dan terdaftar di Bursa Efek Indonesia (BEI) untuk periode 2012 sampai 2015. Sampel dipilih dengan menggunakan metode purposive sampling dan data sekunder yang digunakan dalam penelitian ini dianalisis dengan menggunakan metode regresi berganda. Secara keseluruhan, ada 22 perusahaan yang memenuhi persyaratan yang ditetapkan oleh peneliti. Hasil penelitian ini adalah rasio direksi dan rasio ekuitas pemegang saham secara simultan berpengaruh signifikan terhadap financial distress. Ukuran Direksi tidak berpengaruh positif terhadap financial distress dan rasio ekuitas pemegang saham berpengaruh positif signifikan terhadap financial distress.


2020 ◽  
Vol 3 (2) ◽  
pp. 74
Author(s):  
Kristina Dewanti Setyaningrum ◽  
Apriani Dorkas Rambu Atahau ◽  
Imanuel Madea

A manufacturing company is a business entity whose main activity is to process raw materials into finished goods, therefore they have a sale value. During the covid-19 pandemic, many manufacturing companies were threatened with bankruptcy. That is because the company’s performance has decreased. The purpose of this research is to compare how big the opportunities of PT. Astra International, PT. Mandom Indonesia, PT. Gudang Garam, and PT. Sri Rejeki Isman bankruptcy as a result of covid-19 by using the Altman z-score model. Financial distress is a situation where a company experiences liquidity difficulties or the ability to fulfill its obligations. Based on the results of PT. Astra International from 2016 to 2020 in the first quarter was potentially bankruptcy, while in the second quarter the company was based on the grey area. PT. Mandom Indonesia both in the first quarter and second quarter in healthy. PT. Gudang Garam in first quarter and second quarter in the grey area. PT. Sri Rejeki Isman in the first quarter and second quarter classified as a potentially bankrupt company.


Author(s):  
Ananda Rama Dhani ◽  
Nolla Puspita Dewi

This study aims to (1) determine the effect of Profit Changes on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (2) determine the effect of Operational Cash Flow on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (3) determine the effect of Debt To Equity Ratio (DER) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesian Stock Exchange (4) determine the effect of Debt To Asset Ratio (DAR) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (5) determine the effect of Profit Changes, Operational Cash Flow, Debt T Equity Ratio (DER), Debt To Asset Ratio (DAR) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange. The period used in this study is the period 2015-2019.The population in this study were Manufacturing companies in the sub-sector of cement, porcelain and glass which are listed on the Indonesia Stock Exchange. The sample selection used purposive sampling method.


2021 ◽  
Vol 3 (3) ◽  
pp. 157-163
Author(s):  
Anang Makruf ◽  
Deni Ramdani

Abstract – The aim of the study was to analyze financial distress in cigarette companies list in Indonesia Stock Exchange in 2015-2019 using 3 methods, Altman Z-Score, Zmijewski, and Springate. Purposive sampling is used in this study to determine the sampling technique. The sample used in this study released 4 cigarette companies. Descriptive asalysis with quantitative models was used to analyze data in this research. Altman Z-Score, Zmijewski, and Springate in 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, and PT. Wismilak Inti Makmur Tbk is related to safe, but it is needed a company that is estimated to be grey in the Altman Z-Score calculation in 2018, PT. Wismilak Inti Makmur Tbk. The Z-score is at the limit because the companie has a ratio with a lower value in market value of equity  to book value of liabilities   Abstrak – Penelitian ini memiliki bertujuan untuk menganalisis perbandingan kesulitan keuangan dalam perusahaan sun sektor rokok di Indonesia Stock Exchange periode 2015-2019 menggunakan tiga metode. Metode yang digunakan yaitu Altman Z-Score, Zmijewski, dan Springate. Purposive sampling digunakan dalam penelitian ini untuk menentukan teknik pengambilan sampel. Sampel yang digunakan berjumlah 4 perusahaan rokok. Analisis deskriptif dengan pendekatan kuantitatif digunakan sebagai teknik analisis data. Dalam penelitian ini menjelaskan financial distress yang dihitung menggunakan metode Altman Z-Score, Zmijewski , dan Springate pada tahun 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, dan PT. Wismilak Inti Makmur Tbk mengalami dalam kondisi keuangan yang sehat, namun terdapat perusahaan yang diestimasi rawan kebangkrutan pada perhitungan Altman Z-Score pada  tahun 2018 yaitu PT. Wismilak Inti Makmur Tbk. hal ini dapat terjadi  karena nilai Z-Score PT. Wismilak Inti MakmurTbk  berada pada Z < 1,81 salah satu penyebabnya ialah rendahnya rasio market value of equity terhadap liabilities.


2019 ◽  
Vol 15 (1) ◽  
pp. 34-47 ◽  
Author(s):  
Ratieh Widhiastuti ◽  
Ahmad Nurkhin ◽  
Nurdian Susilowati

AbstractThis research aims to study the effect of good corporate governance on financial distress directly and mediated by financial performance. The study population was a manufacturing company listed on the Indonesia Stock Exchange (IDX) in 2016. The study sample was determined using the purposive sampling method, which produced 137 companies that met the requirements. The research data uses secondary data in the form of financial statements and annual reports of manufacturing companies obtained through the Indonesia Stock Exchange website. The analytical tool to test the research hypothesis is Analysis of Moment Structures (AMOS). The results of the study show that there is no direct and indirect impact on corporate governance to financial difficulties; while financial performance has a negative impact on financial difficulties. Keywords: Financial Performance, Good Corporate Governance, Financial DistressPeran Financial Performance dalam Memediasi Pengaruh Good Corporate Governance Terhadap Financial DistressAbstrakTujuan penelitian ini adalah untuk mengetahui pengaruh good corporate governance terhadap financial distress baik secara langsung maupun dengan dimediasi oleh financial performance. Populasi penelitian adalah perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) pada tahun 2016. Sampel penelitian ditentukan dengan menggunakan metode purposive sampling, yang menghasilkan 137 perusahaan yang memenuhi syarat. Data penelitian menggunakan data sekunder berupa laporan keuangan dan annual report perusahaan manufaktur yang diperoleh melalui website Indonesia Stock Exchange. Alat analisis untuk menguji hipotesis penelitian yaitu Analysis of Moment Structures (AMOS). Hasil penelitian menunjukkan good corporate governance tidak berpengaruh baik secara langsung maupun tidak langsung terhadap financial distress; sedangkan financial performance berpengaruh negatif signifikan terhadap financial distress. Kata kunci: Financial Performance, Good Corporate Governance, Financial Distress 


Author(s):  
Mukhtaruddin . ◽  
Yulia Saftiana ◽  
Tiara .

Public Accounting Firm (PAF) switching in companies follows the regulation number 17/PMK.01/2008 article 3 of the Minister of Finance Republik Indonesia, which is in a period of 6 years or voluntarily. The purpose of this research is to analyze the effect of the size of PAF, financial distress (FD), firm size of client (FSC), client management switching (CMS), audit comitee switching (ACS) to PAF switching voluntarily on manufacturing companies listed in Indonesia Stock Exchange (IDX) in 2010-2014. The population in this research are manufacturing companies listed in IDX in 2010-2014. The sample in this study were taken by purposive sampling method and 21 companies are selected as the sample by criteria. These variables are then tested using logistic regression at a significance level of 5 percent. The result showed that the size of PAF, FD, FSC, CMS does not affect PAF Switching and ACS has affect PAF Switching. The limitations of this research, the variables used only five independent variables, the research period only five years, and sample selection is only based on a purposive sampling.


2018 ◽  
Vol 9 (2) ◽  
Author(s):  
Verani Carolina ◽  
Elyzabet Indrawati Marpaung ◽  
Derry Pratama

AbstractThis research aims to examine wether liquidity, profitability, leverage, and operating cash flow can be used as financial distress predictor. Manufacturing companies which were listed in the Indonesia Stock Exchange during the period 2014-2015, were used as samples. This research used purposive sampling method and 96 companies can be used as samples according to the criteria. Data was analyzed using logistic regression. The result showed that only profitability can be used as financial distress predictor, while liquidity, leverage, and operating cash flow cannot.Keywords: Financial Distress, Liquidity, Leverage, Operating Cash Flow, and Profitability


2017 ◽  
Vol 5 (1) ◽  
pp. 55
Author(s):  
Sri Yati ◽  
Katarina Intan Afni Patunrui

This study aims to observe the financial distress assessment for pharmaceutical companies listed on the Indonesia Stock Exchange using the Altman Z-Score model. The sample is selected using purposive sampling method. Ten pharmaceutical companies were selected with the criteria listed in the Indonesia Stock Exchange (BEI) and regularly published financial reports in 2013 until 2015. Secondary data was derived from www.idx.co.id site.  The results indicate that the Altman Z-Score model can be implemented in detecting the possibility of financial distress in the pharmaceutical company. Working capital to total assets and book value equity to book value of total debt are two determinant variables which is determining the decrease in Z-score value in this research.  One from ten companies have the lowest value of the Z-Score and experiencing financial distress. For two years, the company is in distress zones but in the third year, the company is managed to increase the value of the company and included in the gray zones. This company must continue to strive in order to stabilize the company's financial and asset utilization to obtain maximum profit, and until it was declared as a healthy company.


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