scholarly journals ANALISIS KEBANGKRUTAN PERUSAHAAN DENGAN METODE Z-SCORE ALTMAN PADA 10 (SEPULUH) PERUSAHAAN PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI BEI

2018 ◽  
Vol 3 (01) ◽  
Author(s):  
Ricky Eltin Oktavian ◽  
Tries Ellia Sandari
Keyword(s):  
Real Estate ◽  
Stock Exchange ◽  
Z Score ◽  
Exchange Method ◽  
Book Value ◽  
Total Debt ◽  
Key Word ◽  
Score Method ◽  
Real Estate Company ◽  
Retained Earnings

ABSTRACTThe Purpose of this research is find out, analyze, and predict bankcrupcy potency of  property dan real estate company listed on the Indonesia Stock Exchange. Method Z-Score Altman uses five financial ratios that is Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Taxes to Total Assets (X3), Book Value of Equity to Book Value of Total Debt (X4), and Sales to Total Assets (X5). The results of the Altman Z-Score method that classify companies in three categories which are not bankrupt (safe zone), vulnerable to bankruptcy (gray zone) and bankruptcy (distress zone). Key Word: Capital, Retained Earnings, Earnings Before Interest, Taxes, Total Assets

scholarly journals PREDICTING THE POTENTIAL BANKRUPTCY OF COAL MINING COMPANIES USING ALTMAN Z-SCORE METHOD DURING 2012-2016 PERIOD

2020 ◽  
Vol 8 (1) ◽  
pp. 491-500
Author(s):  
Rihfenti Ernayani
Keyword(s):  
Coal Mining ◽  
Stock Exchange ◽  
Study Data ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Mining Companies ◽  
Grey Area ◽  
Score Method ◽  
Retained Earnings

Purpose of the study: This study aimed to determine and predict potential bankruptcy in coal mining companies listed in Indonesia Stock Exchange (IDX) period 2012-2016. Methodology: This study to using the Altman Z-Score method, with five (5) ratios, namely Working Capital to Total Asset, Retained Earnings to Total Assets, Earning before interest and tax to total assets, Market Value of Equity to Book Value of Debt, and Sales to Total Assets. The ratio of working capital to total assets (X1) is a ratio of liquidity which measures the extent of working capital that is used to finance the total assets. Main Findings: The result showed, by the Z-Score value in 2016 from the coal mining companies studied, four companies fall in the category of potential bankruptcy, three companies in the grey area, and four in the healthy category. Applications of this study: Data sources in this study were coal mining companies listed on the Indonesia Stock Exchange (IDX) for the period 2012-2016. Novelty/Originality of this study: There are 11 coal mining companies taken as sample based on purposive sampling. The result shows, by the Z-Score value in 2016 from the coal mining companies studied, four companies fall in the category of potential bankruptcy, three companies in the grey area, and four in the healthy category.

scholarly journals ANALISIS LAPORAN KEUANGAN SEBAGAI ALAT PREDIKSI KEBANGKRUTAN PADA PERUSAHAAN PROPERTI YANG TERDAFTAR DI BURSA EFEK INDONESIA

2018 ◽  
Author(s):  
STIM Sukma
Keyword(s):  
Stock Exchange ◽  
Good Health ◽  
Z Score ◽  
Health It ◽  
Corporate Bankruptcy ◽  
Book Value ◽  
Total Debt ◽  
Independent Variable ◽  
Retained Earnings ◽  
Bankruptcy Rate

This study aims to determine the level of corporate bankruptcy by the method of Altman Z-Score on Property Company listed on the Indonesia Stock Exchange. The variable used in this research is Total Value Z-Score as independent variable and Corporate Bankruptcy Rate as dependent variable. Where the ZScore Value is measured by the ratio found by Altman consisting of 5 (five) ratios ie Working Capital to Total Assets Ratio (X1), Retained Earnings to Total Assets Ratio (X2), Earnings Before Interest and Taxes to Total Assets Ratio (X3), Market Value Eguity to Book Value of Total Debt Ratio (X4), Sales to Total Assets Ratio (X5). The results of this study indicate that Altman's method can Model Altman Z-score can predict the state of the property company in Indonesia Stock Exchange. From 2 companies taken as sample one of the companies indicated bankruptcy indicated in good health, it is proven from Z-score value of company that has more than 2.99 that is 0,761 in 2014. 0,148 in the year 2015 and value of Z equal to 0,5501 in 2016. While other companie indicated in good health by the company Z-score value of less than 1.80 is 3,234 in 2014, 3,232 in 2015, and 3,84 in 2016. Keywords: Z-score Altman, Bankruptcy Rate

scholarly journals Analysis Of Financial Health Level On Financial Performance In Cement Companies Listed On The Indonesian Stock Exchange (Idx)

2020 ◽  
Vol 18 (3) ◽  
pp. 125
Author(s):  
Dhea Zatira ◽  
Ria Puspitasari
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Market Value ◽  
Financial Health ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Panel Data Regression ◽  
Data Regression ◽  
Retained Earnings

This study aims to analyze the Level of Financial Soundness on Financial Performance in Cement Companies that are Go Public Listed on the Indonesia Stock Exchange (BEI). Analysis of the level of financial health using the Altman Z-Score with several ratios, namely the ratio of Working Capital to Total Assets (X1), the ratio of retained earnings to total assets (X2), the ratio of EBIT to Total Assets (X3), the ratio of stock market value to book value ofabilities (X4), the ratio of Sales to Total Assets (X5) to the dependent variable on Financial Performance (Return on Assets). The data analysis technique used in this research is the Altman Z-Score with the criteria for bankruptcy and to find its effect with the panel data regression model assisted by E-Views software. The results of the calculation and analysis of the Z-Score criteria in cement companies in Indonesia, it is known that there is no cement company whose company finances are stated in a healthy condition. One company is prone to bankruptcy (gray zone) while the rest according to the Z-Score criteria are bankrupt. Furthermore, based on the panel data regression examiner simultaneously the five independent variables on financial performance (Y), while partially the working capital ratio to total assets (X1) affects financial performance (Y), the retained earnings ratio to total assets (X2) has no effect on Financial performance (Y), EBIT ratio to total assets (X3) affects financial performance (Y), stock market value ratio to book value of liabilities (X4) has no effect on financial performance (Y), Sales to Total Assets ratio (X5) affect financial performance.

scholarly journals ANALISIS KEBANGKRUTAN PERUSAHAAN DENGAN MODEL ALTMAN Z-SCORE PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011-2014

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Rio Evans B.M.S ◽  
Cut Ermiati
Keyword(s):  
Sampling Technique ◽  
Multinomial Logit ◽  
Financial Ratios ◽  
Variable Ratio ◽  
Logit Analysis ◽  
Z Score ◽  
Book Value ◽  
Financial Condition ◽  
Total Debt ◽  
Retained Earnings

This study examines the analysis of bankruptcy which uses a model Altman Z-Score 1983 once studied the effect of variable ratio of Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total Assets (X3), Book Value of Equity to Book Value of Total Debt (X4), and Sales to Total Assets (X5) against bankruptcy for companies that went bankrupt or for companies that are not bankrupt by the number of samples (purposive sampling as a sampling technique ) as many as 15 companies. The purpose of this study is to analyze the financial ratios Altman model to explain the company's financial condition foods and beverages as a first step in anticipation of bankruptcy. The analysis method in this research is to perform calculations using the Altman Z-Score Revised (1983) and multinomial logit analysis. Testing is done with the first models prerequisite analysis, testing normality with the overall result is a variable based test One Sample Kolmogorov-Smirnov test indicated that the model in an abnormal position with evidence of significant data α > 0.05. Second, the test results with the results multikolinieritas with VIF < 10 and the tolerance level of > 0.1 indicates that our model is free from the problems of multicollinearity. This is consistent with the assumption multinomial logit analysis that does not require the classical assumption that multinomial logit analysis can proceed. The results of this study are the calculations that have been done, that there are 10 companies in the category of Grey Area and 5 companies in the category is not bankrupt. Seen as a whole has a classification of 95%, while the remaining 5% indicates that bankruptcy is explained by other variables other than those examined in this study In this study the variable ratio of Book Value of Equity to Book Value of Total Debt and Sales to Total Assets have influence significantly to the bankruptcy analysis. So that this research model is Z-Score = Ln (P1/P0) = -149.589 + 117,603BVEBVD + 33,029STA and Z-Score = Ln (P2/P0) = -117.301 + 111,623BVEBVD + 21,657STA Keywords: Bankruptcy, Multinomial Logit Analysis, Financial Ratios Altman Z-Score Model Of Revision.

scholarly journals ANALISIS PENILAIAN FINANCIAL DISTRESS MENGGUNAKAN MODEL ALTMAN (Z-SCORE) PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2013-2015

2017 ◽  
Vol 5 (1) ◽  
pp. 55
Author(s):  
Sri Yati ◽  
Katarina Intan Afni Patunrui
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Pharmaceutical Companies ◽  
Z Score ◽  
Financial Reports ◽  
Book Value ◽  
Total Debt ◽  
Score Model

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.

ANALISIS RASIO KEUANGAN UNTUK MEMPREDIKSI FINANCIAL DISTRESS PERUSAHAAN MANUFAKTUR DI BEI

2021 ◽  
Vol 9 (3) ◽  
pp. 31-40
Author(s):  
Akhmad Kurniadi
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Market Value ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Discriminant Model ◽  
Validation Rate ◽  
Value Equity ◽  
Retained Earnings

ABSTRACT This study aims to examine the prediction of the company's financial difficulties using the Altman Z-score 1968 model and the effect of financial ratios including working capital to total assets, retained earnings to total assets, earnings before interest and tax to total assets, market value equity to book value. of total liabilities, and sales to total assets on financial distress. The sample used in this study is a manufacturing company listed on the Indonesia Stock Exchange (BEI) 2015-2019. Sampling in this study using purposive sampling method and obtained 64 companies. The results showed that the variables Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total Assets (X3), Market Value Equity To Book Value of Total Liabilities (X4), and Sales to Total Assets (X5) has a positive effect on financial distress, and the most significant effect on financial distress is the variable Retained Earnings to Total Assets. From the results of SPSS 17.0 processing, the equation Z = -1,813 + 1,216 X1 + 1,837 X2 + 0.122 X3 + 0.070 X4 + 0.506 X5 is produced. Meanwhile, the discriminant model that was formed had a high enough validation rate, namely 97.6%. Keywords: Financial ratio analysis; Financial distress; Altman Z-score

scholarly journals THE EFFECT OF FINANCIAL RATIO ON FINANCIAL DISTRESS IN PREDICTING BANKRUPTCY

2018 ◽  
Vol 2 (1) ◽  
pp. 110-120 ◽  
Author(s):  
Joko Supriyanto ◽  
Arif Darmawan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Analytical Techniques ◽  
Total Sample ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Mining Companies ◽  
Retained Earnings ◽  
Positive Effect

This study was conducted to investigate Financial Distress in mining companies listed on the Indonesian Stock Exchange (BEI) during the 2011-2014 period using the Altman Z-Score Modification. Total sample that gathered from mining companies is 119 companies, analytical techniques used in this study is the Altman Z-score that consists of four ratios, which are the Net Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total asset (X3), Market Value of Equity to Book Value of Debt (X4.). This test used SPSS 22 to test the hypothesis, the hypothesis testing results are: Net Working Capital to Total Assets has a positive effect on Financial Distress, Retained Earnings to Total Assets has a positive effect on Financial Distress, Earnings Before Interest and Tax to Total Assets has a positive effect on Financial Distress, Book Value of Equity to Total Liabilities has a positive effect on Financial Distress. This study only used mining companies sector, the further research is recommended to use the other sector companies that have larger numbers of samples.

scholarly journals Bankruptcy Prediction Analysis Using the Altman Z-Score Method at PT Aneka Tambang (Persero) Tbk

2020 ◽  
Vol 1 (2) ◽  
pp. 51-58
Author(s):  
Iis Fitriani ◽  
Puji Muniarty
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Literature Study ◽  
Test Analysis ◽  
Financial Reports ◽  
Score Method ◽  
Data Collection Technique ◽  
Retained Earnings

This study aims to determine the prediction of bankruptcy in Aneka Tambang (Persero) Tbk for the period 2011 to 2018. Z-score is the independent variable (X) measuring by five ratios: working capital to total assets, retained earnings to total assets, earnings before interest and tax to total assets, the market value of equity to total liabilities, and sales to total assets. The background of this research is the government's ban on the export of raw minerals, which resulted in Aneka Tambang (Persero) Tbk no longer making overseas sales of nickel ore, which made the company's profit decline. This research method uses descriptive research with a quantitative approach, the source of the data used is secondary data based on financial reports published on the Indonesia Stock Exchange and the official website www.antam.com. The population used is the financial statement data for ten years, namely from 2009 to 2018, while the sample using for eight years, namely from 2011 to 2018. The data collection technique carried out using documentation and literature study techniques. Data analysis techniques were carried out by discriminant analysis using the Altman Z-Score method and one sample t-test analysis. The Altman Z-Score uses five variables that represent liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4, and X5. The formula Z-Score Z = 0.717 X1 + 0.847 X2 + 3.107 X3 + 0.420 X4 + 0.998 X5. With criteria, Z> 2.99 categorized as a good company. Z between 1.23 to 2.99 categorized as a company in the grey area or area of ​​financial difficulty. Z <1.23 is categorized as a potentially bankrupt company.

scholarly journals Analisis Model Prediksi Kebangkrutan Industri Garmen dengan Menggunakan Metode Altman Z- Score

2017 ◽  
Vol 1 ◽  
pp. 1
Author(s):  
Bramantiyo Eko Putro ◽  
Fajar Pratama
Keyword(s):  
Financial Constraints ◽  
Data Retrieval ◽  
Financial Data ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Equity Value ◽  
Calculation Results ◽  
Score Method ◽  
Retained Earnings

Abstract— PT. Eastern Modern Apparel is engaged in garment production. The company has experienced financial constraints. This is marked by the dismissal of some employees. Research is done to determine the prediction of bankruptcy of the company. Methodology that has been done in this research are conducting interviews with the company, field study, financial data retrieval. The step is done to meet the data needs in the next step. The next step is data processing using Altman Z-Score method. Processing consists of X1 = Working Capital Ratio against Total Assets, X2 = Retained Earnings Ratio against Total Assets, X3 = EBIT Ratio against Total Assets, X4 = Market Equity Value Threshold on Book Value of Debt. X5 = Sales to Total Assets. Processed data is in the period 2014, 2015, and 2016. The process produces Z-Score value for each period. Z-Score calculation results in the period 2014 = 3.91, 2015 = 3.19, and 2016 = 2.83. While the limits of healthy company according to calculations Almant Z-Score of> 2.675. Then the results of Altman Z-Score calculations on the company is said to be healthy, because the results exceed the limits of the healthy category. However there is a decrease of each period.Keywords: Corporate Financial Performance, Altman Z-Score, Healthy Company

scholarly journals DETEKSI KRISIS KEUANGAN PERUSAHAAN SEKTOR PERBANKAN DI INDONESIA

2018 ◽  
Vol 16 (2) ◽  
pp. 1-8
Author(s):  
Qidida Sela Dati ◽  
Kholisa Mirzayatiq ◽  
Citra Agis Fitriana ◽  
Bayu Sindhu Raharja
Keyword(s):  
Stock Exchange ◽  
Prediction Method ◽  
Bankruptcy Prediction ◽  
Capital Adequacy ◽  
Z Score ◽  
Financial Reports ◽  
Book Value ◽  
Capital Adequacy Ratio ◽  
Score Method ◽  
Gray Areas

Altman Z-Score is a method of scoring bankruptcy. The bankruptcy prediction method that will be used in this study is the Altman Z-Score method that is in accordance with the financial ratios which also have a cut-off point to determine the value of bankruptcy. This study uses five ratios, that is Capital Adequacy Ratio (CAR) to the Asset Sector (X1), Earnings Balance on Total Assets (X2), EBIT to Total Assets (X3), Market Value of Debt Book Value (X4), and Interest Income on Total Assets (X5). This research is a descriptive study conducted on 32 banks listed on the Indonesia Stock Exchange. Financial reports for 2013-2016 Taken from the official website of the Indonesia Stock Exchange (IDX) and the Indonesian Capital Market Directory (ICMD) then bankruptcy analysis is used the Altman Z-Score modification model. Based on the results of research and discussion that has been carried out, it can be concluded from 2013-2016 that banks in a healthy condition is 22.66%, banking in gray areas or gray is 34.38%, and bankrupt is 42.97 %.

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