scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN MENGGUNAKAN MODEL ALTMAN Z-SCORE PADA PERUSAHAAN RITEL YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014-2018

2021 ◽  
Vol 9 (1) ◽  
pp. 84
Author(s):  
Rosmayana Rusman
Keyword(s):  
Sampling Technique ◽  
Financial Statements ◽  
Critical Issue ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Financial Condition ◽  
Dangerous Zone ◽  
Score Model ◽  
Retail Organizations ◽  
High Degree

Bankruptcy is a critical issue that companies must be aware of. Bankruptcy and the level of the company's performance can be seen from the company's financial condition by analyzing the company's financial statements. The most widely used bankruptcy prediction model is the Altman Z-Score model..The Altman Z-Score model analysis was chosen as the model used in bankruptcy prediction because, this model is easy to use with a high degree of accuracy. The purpose of this research is to determine bankruptcy predictions using the Altman Z-Score model in retail companies listed on the IDX in 2014-2018. This kind of exploration is expressive quantitative utilizing monetary reports as an examination instrument. The examining method was,carried out by utilizing purposive sampling,technique which was then controlled by nine retail organizations as the sample. The results show that on average six companies are in a safe zone, including issuers ECII, HERO, MPPA, RANC, SKYB, SONA and two companies in the gray zone or prone to bankruptcy, namely CENT and KOIN, one company in the dangerous zone, namely RIMO

scholarly journals Is it Worth Comparing Different Bankruptcy Models?

2015 ◽  
Vol 63 (2) ◽  
pp. 525-531 ◽  
Author(s):  
Miroslava Dolejšová
Keyword(s):  
Financial Performance ◽  
Financial Statements ◽  
T Test ◽  
Small Enterprises ◽  
Z Score ◽  
Statistical Data Analysis ◽  
Financial Condition ◽  
Score Model ◽  
The One ◽  
Paired T Test

The aim of this paper is to compare the performance of small enterprises in the Zlín and Olomouc Regions. These enterprises were assessed using the Altman Z-Score model, the IN05 model, the Zmijewski model and the Springate model. The batch selected for this analysis included 16 enterprises from the Zlín Region and 16 enterprises from the Olomouc Region. Financial statements subjected to the analysis are from 2006 and 2010. The statistical data analysis was performed using the one-sample z-test for proportions and the paired t-test. The outcomes of the evaluation run using the Altman Z-Score model, the IN05 model and the Springate model revealed the enterprises to be financially sound, but the Zmijewski model identified them as being insolvent. The one-sample z-test for proportions confirmed that at least 80% of these enterprises show a sound financial condition. A comparison of all models has emphasized the substantial difference produced by the Zmijewski model. The paired t-test showed that the financial performance of small enterprises had remained the same during the years involved. It is recommended that small enterprises assess their financial performance using two different bankruptcy models. They may wish to combine the Zmijewski model with any bankruptcy model (the Altman Z-Score model, the IN05 model or the Springate model) to ensure a proper method of analysis.

Pengaruh Prediksi Kebangkrutan Model Altman Z-Score, Reputasi Auditor dan Opinion Shopping terhadap Opini Audit Going Concern

Owner ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 343-355
Author(s):  
Muhammad Yunus ◽  
Calen Calen ◽  
Sarida Sirait
Keyword(s):  
Stock Exchange ◽  
Sampling Technique ◽  
Bankruptcy Prediction ◽  
Manufacturing Companies ◽  
Z Score ◽  
Audit Opinion ◽  
Going Concern ◽  
Opinion Shopping ◽  
Score Model ◽  
Auditor Reputation

This study aims to determine the effect of the bankruptcy prediction of the Altman z-score model, auditor reputation and opinion shopping on going concern audit opinion in manufacturing companies listed on the Indonesia Stock Exchange in 2015-2019. This research is a causal associative research with a quantitative approach. The sample in this study were 25 manufacturing companies listed on the Indonesia Stock Exchange which were determined using purposive sampling technique. Observations in this study were carried out throughout the period 2015 to 2019 so that the number of observations was 125 data. The type of data used in this study is secondary data. While the data analysis method used in this research is panel data regression analysis with statistical data processing software, namely STATA. Based on the results obtained in this study, it can be seen that the prediction of bankruptcy based on the Altman z-score model has no significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. Auditor reputation is proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. And opinion shopping is also proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange.

scholarly journals Analisis Kinerja Keuangan Perusahaan pada PT. Japfa Comfeed Indonesia Tbk

2020 ◽  
Vol 5 (2) ◽  
pp. 203
Author(s):  
Jezzyca Ria Paramita ◽  
Iwan Eka Putra ◽  
Abd Halim ◽  
Ermaini Ermaini
Keyword(s):  
Financial Performance ◽  
Secondary Data ◽  
Financial Statements ◽  
Bankruptcy Prediction ◽  
Financial Ratios ◽  
Z Score ◽  
Financial Ratio ◽  
Financial Condition ◽  
Score Method ◽  
Solvency Ratio

Financial performance is an overview of how a company's financial condition is. To assess financial performance is used with a benchmark commonly called financial ratios. Financial ratios used are usually such as profitability ratio, liquidity ratio and solvency ratio. in addition to using financial ratios, the company can also use the Altman Z-Score method to assess the level of the company's bankruptcy prediction. This research aims to find out the financial performance of PT Japfa Comfeed Indonesia Tbk as well as the company's future bankruptcy predictions. the research method used is quantitative analysis based on secondary data taken from the Financial Statements of PT Japfa Comfeed Indonesia Tbk for the period 2014 to 2019. The results of the study are measurements of the company's financial ratio showing sufficient value while measurements using the company's Altman Z-Score method show healthy value which means it does not go into bankruptcy.

scholarly journals Analisis Potensi Kebangkrutan PT. Berlian Laju Tanker, Tbk. dengan Menggunakan Altman’s Z Score

2012 ◽  
Vol 3 (2) ◽  
pp. 654
Author(s):  
Iswandi Iswandi
Keyword(s):  
Financial Markets ◽  
Financial Institutions ◽  
Stock Exchange ◽  
Financial Statements ◽  
Financial Statement ◽  
Z Score ◽  
Transportation Services ◽  
Financial Condition ◽  
Score Model ◽  
A Company

PT. Berlian Laju Tanker, Tbk. (BLTA) is a company engaged in the ocean transportation services listed on the Indonesia Stock Exchange and the Singapore Stock Exchange. In 2009 and 2010 BLTA experienced a net loss. At the end of 2011 the company rocked the financial markets in Indonesia and Singapore being unable to meet financial obligations to financial institutions and corporate bondholders. Given such conditions until the end of August 2012 BLTA can not submit audited financial statement of year 2011 to the authorities of stock exchange and public. By using the 2007 to 2010 audited financial statements and June 2011 inhouse financial statement were analyzed using Altman's Z score model can be known that since 2007 BLTA produce a Z score were classified bankruptcy. Investors should analyze the financial condition by using Z Score in order to minimized shareholders and bondholders potential losses.

scholarly journals PREDIKSI KEBANGKRUTAN MODEL SPRINGATE PADA INDUSTRI TELEKOMUNIKASI

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Riani Fifrianti ◽  
Perdana Wahyu Santosa
Keyword(s):  
Financial Distress ◽  
Financial Risk ◽  
Sampling Method ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Financial Statements ◽  
Telecommunications Industry ◽  
Bankruptcy Prediction ◽  
Bankruptcy Problem ◽  
Financial Condition

<p>This study purposes to analyze of corporate bankruptcy prediction of telecommunication industry in Indonesia with Springate model. The data used in the form of financial statements published by the telecommunications industry at Indonesia Stock Exchange for 2009-2013<br />period. The sampling technique of this study was determined by purposive sampling method for six samples from Indonesia Stock Exchange (IDX). The results using Springate model shows that two companies, PT Bakrie Telecom, Tbk and PT Smartfren, Tbk could potentially<br />bankrupt in the future and three companies For PT Indosat, Tbk, PT XL Axiata, Tbk and PT Inovisi Infracom, Tbk are classified have financial distress problem. The company that very good results is PT Telekom Indonesia, Tbk and categorized has no bankruptcy problem. In<br />general analysis telecommunication caompany have no good financial condition because business risk and financial risk are higher relatively than other industry.</p>

Prediksi Kebangkrutan Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia

2021 ◽  
Vol 5 (2) ◽  
pp. 126-141
Author(s):  
Melati Eka Putri ◽  
Auliffi Ermian Challen
Keyword(s):  
Prediction Models ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Bankruptcy Prediction ◽  
Analytical Models ◽  
Ratio Analysis ◽  
Debt Capital ◽  
Score Model

This study aims to examine the potential for bankruptcy of companies with three analytical models, namely Altman Z-Score, Springate S-Score, and Zmijewski X-Score, and assess the level of accuracy of the three models. Each model uses ratio analysis with the elements of assets, debt, capital, and company profits. This study uses a sample of coal mining companies listed on the Indonesia Stock Exchange (IDX) during the 2014-2018 period. The sampling technique in this study used purposive sampling and obtained 24 sample companies. This study uses secondary data, namely the company's financial statements obtained from IDX's official website. This study calculates financial ratios, compares the scores of the three bankruptcy prediction models, and tests the model's accuracy. The results of this study show that of the three models, the Springate S-Score model is the most accurate in predicting bankruptcy, with an accuracy rate of 83.33%, as evidenced by two companies that were delisted from the IDX. This study can be used as a reference and as material for consideration in making investment decisions for companies and investors.

FRAUD TRIANGLE ANALYSES IN DETECTING FRAUDULENT FINANCIAL STATEMENT USING FRAUD SCORE MODEL

2020 ◽  
Vol 25 (1) ◽  
pp. 29-44
Author(s):  
Mariati ◽  
Emmy Indrayani
Keyword(s):  
Financial Stability ◽  
Linear Regression Analysis ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
External Pressure ◽  
Financial Statement ◽  
Fraud Triangle ◽  
Financial Statement Fraud ◽  
Financial Condition ◽  
Score Model

Company’s financial condition reflected in the financial statements. However, there are many loopholes in the financial statements which can become a chance for the management and certain parties to commit fraud on the financial statements. This study aims to detect financial statement fraud as measured using fraud score model that occurred in issuers entered into the LQ-45 index in 2014-2016 with the use of six independent variables are financial stability, external pressure, financial target, nature of industry, ineffective monitoring and rationalization. This study using 27 emiten of LQ-45 index during 2014-2016. However, there are some data outlier that shall be removed, thus sample results obtained 66 data from 25 companies. Multiple linear regression analysis were used in this study. The results showed that the financial stability variables (SATA), nature of industry (RECEIVBLE), ineffective monitoring (IND) and rationalization (ITRENDLB) proved to be influential or have the capability to detect financial statement fraud. While the external pressure variables (DER) and financial target (ROA) are not able to detect the existence of financial statement fraud. Simultaneously all variables in this study were able to detect significantly financial statement fraud.

scholarly journals TESTING BHANDARI Z-SCORE MODEL BANKRUPTCY PREDICTION USING CASH FLOW

2018 ◽  
Vol 2 (1) ◽  
pp. 121-128
Author(s):  
Barcha Handal Sakti ◽  
Ely Kartikaningdyah
Keyword(s):  
Cash Flow ◽  
Stock Exchange ◽  
Predictor Variable ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Discriminating Power ◽  
Significant Difference ◽  
Operating Cash Flow ◽  
Score Model

This research aimed to know whether the predictor variables on Bhandari’s z-score model having discriminating power which in each of the group has significant difference. Sample which was being used to assist was the manufacture company that consisted of healthy company and the unhealthy company enrolled in Indonesia stock exchange in the period of 2012-2014. Sample collecting method used purposive sampling and cross section was the data used in this research. This research was conducted by using Multivariat Discriminant Analysis (MDA). The result of this study showed predictor variable that gave discriminating power which stood of quality of earning (EAQ), operating cash flow divided by current liabilities (OCFCL), operating cash flow margin (OCFM), and operating cash flow return on total assets (OCFA) in distinguishing the healthy and unhealthy company significantly.

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 PENERAPAN MODEL Z-SCORE UNTUK PREDIKSI KEBANGKRUTAN BANK BRI SYARIAH TAHUN 2014-2016

2018 ◽  
Vol 16 (1) ◽  
pp. 81-97
Author(s):  
Muhlis Muhlis
Keyword(s):  
Financial Statements ◽  
Debt Ratio ◽  
Z Score ◽  
Bank Management ◽  
Financial Difficulties ◽  
Score Model

Abstract: The application of the z-score model is done to find out the early condition possible to avoid the failure of bank management when experiencing financial difficulties that will trigger potential bankruptcy if the score category is below 2.99. The method used is the Altman Z-Score model by analyzing the financial statements of PT Bank BRI Syariah from 2014-2016. Based on the results of the research conducted, the z-score in 2014 was 5.13 and 6.24 in 2015, while in 2016 it was 5.24. Altman's score results indicate that the company is free from potential bankruptcy. The debt ratio has a guarantee of very good assets. Equity is ideal in fulfilling obligations Abstrak: Penerapan model z-score ini dilakukan untuk mengetahui kondisi sedini mungkin menghindari kegagalan manajemen bank bila mengalami kesulitan keuangan yang akan memicu potensi kebangkrutan bila kategori skornya dibawah 2,99. Metode yang digunakan adalah model Altman Z-Score dengan menganalisis laporan keuangan PT Bank BRI Syariah dari tahun 2014-2016. Berdasarkan hasil penelitian yang dilakukan, nilai z-score tahun 2014 yaitu 5,13 dan 6,24 pada tahun 2015, sedangkan pada tahun 2016 yaitu 5,24. Hasil score Altman ini menunjukkan bahwa perusahaan bebas dari potensi kebangkrutan. Rasio utang mempunyai jaminan aktiva sangat bagus. Ekuitasnya sangat ideal dalam memenuhi kewajiban

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