ANALISIS PREDIKSI KEBANGKRUTAN DAN HARGA SAHAM PADA PERUSAHAAN PERTAMBANGAN BATU BARA

2016 ◽  
Vol 12 (2) ◽  
pp. 141
Author(s):  
Augustpaosa Nariman
Keyword(s):  
Coal Mining ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Statements ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Mining Company ◽  
Mining Companies ◽  
Gray Area ◽  
Analysis Technique

This study aims to examine and analyze the bankruptcy prediction on coal mining company listed onthe Indonesia Stock Exchange. Bankruptcy prediction on coal mining companies using the Altman ZScore to see how big a bankruptcy prediction coal mining company. The data used in this study arethe financial statements of coal mining companies that are in the period 2012-2014 on the IndonesiaStock Exchange. The analysis technique used is a bankruptcy prediction model Altman Z-Score usingfive variables representing liquidity ratios, profitability ratio, and activity ratio. During theobservation period of 2012-2014 shows that the research data as many as 19 coal mining companiesthere are in a state of bankruptcy. In 2012 and 2013 there were 31.6% of companies experiencingbankruptcy prediction, and 26.32% are in the gray area. 2014 showed an increase where there are42.10% of companies experiencing bankruptcy prediction and 5.26% in the gray area..Keywords: Altman Z-Score, Predicted Bankruptcy, Stock price

scholarly journals BANKRUPTCY PREDICTION OF THE COMPANY USING ALTMAN Z–SCORE METHOD FOR THE CONVENTIONAL BANKS REGISTERED IN THE INDONESIA STOCKS EXCHANGE (BEI)

2017 ◽  
Vol 2 (02) ◽  
pp. 11
Author(s):  
Irwansyah .
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Gray Area ◽  
Analysis Technique ◽  
Score Analysis ◽  
Score Method ◽  
Score Model ◽  
Conventional Banks

This study was conducted to prove the accuracy of bankruptcy prediction of Altman Z-Score model on conventional banks listed on the Indonesia Stock Exchange. The data used in this study is secondary data obtained from the annual financial statements of conventional banks during the period of 2013-2016 mentioned on the official website of the Indonesia Stock Exchange. The data analysis technique used is bankruptcy prediction of Altman Z-Score model, using five variables representing liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4 and X5. The formula Z-score = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + X5. When Z-Score criteria is Z > 2.90 it is categorized as a healthy company. Z-Score between 1.23 to 2.90 is categorized as a company in area. While Z-Score Z < 1.23 is categorized as a potential bankrupt company. Based on the results of the research, Z-Score analysis that has been done in the period of 2013-2016 indicating that most conventional banks are predicted bankrupt. The lowest score of the Z-Score is 1.23. Only one Bank Jtrust Indonesia Tbk (BCIC bank code) is in a healthy category. Bank Mandiri (Persero) Tbk with BMRI bank code, has been increasing from the prediction of bankruptcy category to the prediction of gray area category.Keywords: Altman Z-Score, Conventional Banks Listed on BEI 2013-2016, Prediction of Bankruptcy.

scholarly journals Company Bankruptcy Prediction Coal Mining Sector Listed on the Indonesia Stock Exchange and Its Impact on Stock Prices

2021 ◽  
Vol 3 (3) ◽  
pp. 95-106
Author(s):  
Erik Priambodo ◽  
Augustina Kurniasih
Keyword(s):  
Coal Mining ◽  
Stock Prices ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Mining Sector ◽  
Mining Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
Score Model

This study aims to prove whether coal mining sector companies have the potential to go bankrupt if measured using the Altman Z-Score model. The study also analyzed the effect of the components of financial ratios in the Altman Z-Score model on stock prices. The research sample is 17 coal mining companies listed on the Indonesia Stock Exchange for the 2015-2019 period. The results of the calculation of the Z-Score value show that several coal mining companies have the potential to go bankrupt. Using the panel data regression approach, it was found that the Z-Score value had a significant effect on stock prices. Partially, the EB/TA ratio has a significant effect on stock prices. The ratios of WC/TA, RE/TA, and MVE/BVL have no significant effect on stock prices.

scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN BERDASARKAN METODE ALTMAN Z-SCORE (STUDI KASUS PADA BANK BUMN YANG TERDAFTAR DI BEI)

2019 ◽  
pp. 191
Author(s):  
I Komang Try Satriawan Korry ◽  
Made Pratiwi Dewi ◽  
Ni Luh Anik Puspa Ningsih
Keyword(s):  
Financial Distress ◽  
Deposit Insurance ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Gray Area ◽  
Analysis Technique ◽  
Score Method

Abstract: Bankruptcy Prediction Analysis Based on the Altman Z-Score Method (Case Study ofState-Owned Banks Registered on the IDX). Bankruptcy phenomena can occur in every company.Based on data from the Deposit Insurance Agency (LPS), there were 90 banks liquidated since 2005 until mid-2018. Based on the phenomenon of bankruptcy that occurred, it was important for banks to be no exception for state-owned banks to recognize the symptoms of financial distress thatled to bankruptcy. The purpose of this study was to determine the prediction of bankruptcy basedon the Altman Z-Score method on state-owned banks listed on the Indonesia Stock Exchange (IDX).The data analysis technique used in this study is descriptive analysis techniques. The sample inthis study used four state-owned banks, namely Bank Negara Indonesia, Bank Rakyat Indonesia,Bank Tabungan Nasional, and Bank Mandiri with the technique of determining saturated samplingsamples and the data used were financial statements for the 2014-2017 period obtained throughofficial IDX sites (www.idx.co.id). The results of the study show that all state-owned banks are inthe gray area for the period of 2014-2017 because the value of the Z-score obtained is between 1.1and 2.6.

scholarly journals ANALISIS KESESUAIAN PREDIKSI KEBANGKRUTAN MODEL ALTMAN Z-SCORE, FULMER DAN SPRINGATE TERHADAP OPINI AUDITOR PADA PERUSAHAAN DELISTINGTAHUN 2015

IKONOMIKA ◽  
2017 ◽  
Vol 1 (2) ◽  
pp. 144
Author(s):  
Anissa Agustina Rahmadini
Keyword(s):  
Stock Exchange ◽  
Financial Statements ◽  
Descriptive Study ◽  
Bankruptcy Prediction ◽  
Financial Data ◽  
Z Score ◽  
Gray Area ◽  
Level Of Agreement

Abstract-This research aims at bankruptcy prediction in PT. Bank Ekonomi Raharja which delisted from The Indonesia Stock Exchange and determine the level of suitability of these predictions with the auditor's opinion on the financial statements. This research is a descriptive study with a sample of companies that delisting from the stock exchange in 2015. Based on processing and analysis of financial data year 2011-2015 results obtained from three models of bankruptcy prediction Springate and Fulmer predicted PT. Bank Ekonomi Raharja went bankrupt during that period, while the method of Altman predicts PT. Bank Ekonomi Raharja are in the category of "gray area". In addition the level of agreement between the predictions of bankruptcy by the auditor's opinion is only 20%, this corresponds to the condition that the company is still operating despite at delisted from the stock exchange.

scholarly journals The Influence of Profitability, Solvency, and Auditor’s Opinion to Audit Report Lag at Coal Mining Companies

2016 ◽  
Vol 7 (2) ◽  
pp. 197
Author(s):  
Adlina Nindra Hapsari ◽  
Negina Kencono Putri ◽  
Triani Arofah
Keyword(s):  
Coal Mining ◽  
Significant Influence ◽  
Stock Exchange ◽  
Financial Statements ◽  
Audit Report ◽  
Financial Service Authority ◽  
Financial Reports ◽  
Mining Companies ◽  
Analysis Technique ◽  
The Impact

Submitting financial statements adapted in accordance with accounting standards audited by a registered public accountant with Financial Service Authority known as Otoritas Jasa Keuangan (OJK) is required for every public company. In delivering financial reports to the public, there would be a delay affected by a period of audit reporting (audit report lag). The goal of this research was to determine the impact of profitability, solvency, and auditor’s opinion to audit report lag on sub-sector coal mining companies listed on the Indonesian Stock Exchange. Quantitative study with purposive sampling method was used as the research method. In addition, the data were obtained from the company’s financial statements which have been published. Multiple linear regression and hypothesis testing using t and f statistics with a confidence level of 5% were applied as the analysis technique. The amount of the research objects was 18 out of 22 classified companies from the period of 2012 to 2014. From this study, it can be concluded that both profitability and auditor’s opinion have significant influence on audit report lag. In contrast, solvency has no significant influence on audit report lag.

scholarly journals The Influence of Earning Per Share, Price Earnings Ratio, and Price to Book Value toward Price of Stok of Coal Mining Companies Listed in the Indonesia Stock Exchange During 2014-2018

2021 ◽  
Vol 3 (1) ◽  
pp. 32
Author(s):  
Rr. Jean Brebeuf Iryani Andamari ◽  
Caecilia Wahyu Estining Rahayu ◽  
Ima Kristina Yulita
Keyword(s):  
Linear Regression ◽  
Coal Mining ◽  
Stock Price ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Share Price ◽  
Mining Company ◽  
Book Value ◽  
Mining Companies ◽  
Price Earnings Ratio

Company's financial performance is a factor considered by investors in investing. This study aims to determine the effect of Earning per Share (EPS), Price Earnings Ratio (PER), and Price to Book Value (PBV) on stock price. Eight coal mining companies listed in the Indonesia Stock Exchange (IDX) in 2014-2018 were taken for the samples of this research using purposive sampling technique. Multiple linear regression was used to analyze the data. The results show that (1) EPS, PER, and PBV simultaneously have a significant effect on stock price with a significance value of 0.000; (2) EPS and PBV partially have a significant effect on stock price with a significance value of 0.000 and 0.006 respectively. EPS, PER, and PBV can explain variation of the stock price of the coal companies listed in the IDX in 2014-2018 as much as 88.5%. The results of this study is expected to provide recommendations for investors in choosing stocks of coal mining company with good performance based on EPS and PBV ratios.

scholarly journals ANALISIS PENGHINDARAN PAJAK YANG DIPENGARUHI TINGKAT PROFITABILITAS

2020 ◽  
Vol 9 (2) ◽  
pp. 132-138
Author(s):  
Sri Damayanti ◽  
Sri Dewi Anggadini ◽  
Ari Bramasto
Keyword(s):  
Coal Mining ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Tax Avoidance ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
Effective Tax Rate ◽  
Mining Company ◽  
Tax Rate ◽  
Mining Companies

This research is conducted to determine the influence of Profitability on Tax Avoidance in Coal Mining Companies Listed on The Indonesia Stock Exchange Period 2013-2017. The problem in the coal mining company is the existence of companies that have increased profitability but were followed by increased tax avoidance. The research method used is descriptive and verification analysis with a quantitative approach. The population in this study is 24 Coal Mining Companies Listed on The Indonesia Stock Exchange Period 2013-2017. Samples of research were taken using the purposive sampling method to obtain 14 coal mining companies with 70 financial statements in the period of 2013-2017. The analysis method used is multiple linear regression analysis. The result of this study showed that the profitability variables measured using Return on Asset (ROA) has negative and significant effect on Tax Avoidance which measured using Effective Tax Rate (ETR).

PREDIKSI TINGKAT KEBANGKRUTAN PERUSAHAAN PERTAMBANGAN BATU BARA YANG TERDAFTAR Di BURSA EFEK INDONESIA TAHUN 2014-2015

2017 ◽  
Vol 1 (2) ◽  
pp. 156-173
Author(s):  
Erwita Dewi
Keyword(s):  
Coal Mining ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
T Test ◽  
Z Score ◽  
Model Classification ◽  
Gray Area ◽  
The Difference ◽  
A Company ◽  
Altman Model

This study aims to determine the financial statements prior to the bankruptcy can be used to predict the rate of bankruptcy with Altman Model and Foster on coal mining company listed on the Indonesia Stock Exchange. Model classification Altman Z score Z score> 2.90 is classified as a healthy company, while the company has a Z score <1.20 were classified as potentially bankrupt company. Furthermore, scores between 1.20 to 2.90 is classified as a company in the gray area or the gray area. While the Model Z score Foster use the "Cut-off Point" Z = 0.640, so companies that have Z < 0.640 belongs to a group of companies that go bankrupt, while if Z > 0.640 included in the group of companies that are not bankrupt. After that tested the difference between the predicted results using independent samples t test. The results of the analysis of financial ratios and Foster Altman model proved capable of predicting corporate bankruptcies coal mining sector in Indonesia Stock Exchange in 2014-2015. Results Zscore Altman bankruptcy prediction for the year 2014-2015 shows an increase in predictive companies entering bankrupt category. In 2014 by 22% (there are four companies that PT.BUMI Resources Tbk, PT.Darma Henwa Tbk, PT.Delta Dunia Makmur Tbk and PT.Perdana Karya Perkasa Tbk), and in 2015 by 44% (there are eight companies, namely       PT. Adaro Energy Tbk, PT.Atlas Resources Tbk, PT. Bumi Resources Tbk, PT. Darma Henwa Tbk, PT. Delta Dunia Makmur Tbk, PT.Perdana Karya Perkasa Tbk, PT.Petrosea and  PT. Golden Eagle Energy Tbk). Foster Zscore bankruptcy prediction results for the year 2014-2015 shows that there is consistency predictive companies entering bankrupt category. Year 2014-2015 by 28% (there are five companies that PT.Atlas Resources Tbk, PT.Baramulti Sukses sarana Tbk, PT. Bayan Resources Tbk, PT. Darma Henwa Tbk and PT. Perdana Karya Perkasa Tbk). Both models are Zscore Altman bankruptcy prediction and Zscore Foster in this study proved to be no different in corporate bankruptcy prediction results were proved by analysis of independent sample t test.

scholarly journals ANALISIS PREDIKSI KEPAILITAN PADA BANK UMUM SWASTA NASIONAL DEVISA YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2010 – 2013

2018 ◽  
Vol 4 (1) ◽  
pp. 93
Author(s):  
Sumaniyatun Fadhilah ◽  
Indah Kurniawati
Keyword(s):  
Commercial Bank ◽  
Foreign Exchange ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Working Capital ◽  
Purposive Sampling ◽  
Gray Area ◽  
Private Banks

The purpose of this study is to assess bankruptcy prediction in the National Private Banks Foreign Exchange listed in Indonesian Stock Exchange. This study uses the size of liquidity ratio of working capital to total assets. This study uses the find were the purposive sampling. The population in this study is the National Private Commercial Bank Foreign Exchange listed on the Indonesian Stock Exchange during the period of the study, namely between 2010 until 2013. The sample amounted to 21 banks during the 4 years that have been selected based on specific criteria. Based on the results of the analysis carried out stating that the National Private Commercial Bank Foreign Exchange listed in Indonesian Stock Exchange in 2010 there were 29 % of banks that are insolvent, 71 % of banks that are in the gray area, and no banks that are in not bankruptcy predictions. In 2011 29 % of banks that are insolvent, 67 % of banks that are in the gray area and 5 % are located on the banks not bankruptcy prediction. In 2012 29 % of banks that are insolvent, 67 % of banks that are in the gray area, and 5 % of banks that are in the prediction of the bank is not bankrup. In 2013 29 % of banks that are in bankruptcy prediction, 71 % of banks that are in the gray area, and there are no banks that are in not bankruptcy predictions. There is no difference in Z-score on bankruptcy prediction National Private Banks Foreign Exchange Listed in Indonesian Stock Exchange between 2010, 2011, 2012, and 2013.

scholarly journals Prediksi Kebangkrutan Dengan Altman Z-Score dan Harga Saham pada Perusahaan Manufaktur

2019 ◽  
Vol 2 (2) ◽  
pp. 121
Author(s):  
Hikmah Hikmah
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Financial Report ◽  
Basic Industry ◽  
Manufacturing Company ◽  
Score Method

Bankruptcy Prediction With the Altman Z-Score Method and the stock price on Manufacturing Company. This research aims to analyze the bankruptcy prediction on stock prices in manufacturing company of basic industry sector and chemical sub-sector of metals that listed in Indonesia Stock Exchange for the period of 2015-2017. The sampling method was done with purposive sampling which then determined 15 companies as sample. Sources of data used are secondary data in the form of financial report published in BEI. Data analysis used data panel regression using eviews version 8. These result shows that Altman Z-Score variable: 1) Working capital to total assets, 2) Retained earning to total assets, 3) Earning before interest and taxes to total assets, 4) Market value of equity to book value of total debts, and 5) Sales to total assets significantly influence stock prices in the metal subsector on the Indonesia Stock Exchange, the average company is in the gray area

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