scholarly journals Influence of bankruptcy prediction and residual income on company share prices in various industry sectors

2019 ◽  
Vol 1 (2) ◽  
pp. 74-83
Author(s):  
Shinta Disky Azzharah
Keyword(s):  
Stock Prices ◽  
Bankruptcy Prediction ◽  
Stock Index ◽  
Residual Income ◽  
Manufacturing Companies ◽  
Z Score ◽  
Analysis Model ◽  
Share Prices ◽  
Industrial Sectors ◽  
Score Model

Research use the panel data regression analysis model aims to determine the predictions of bankruptcy with the Altman Z-Score model and residual income influence the stock prices of companies listed in the Indonesian Syariah Stock Index (ISSI) in the period 2014 to 2018. Research This is a quantitative study using secondary data in the form of annual financial statements published by companies, with sampling using purposive sampling to obtain a sample of 23 manufacturing companies engaged in various industrial sectors. The research method uses the fixed effect model approach. The analysis said that the bankruptcy prediction using the Altman Z-Score model showed a significant negative effect on stock prices, while residual income had no effect on stock prices. In addition, the Altman Z-Score shows that many companies enter the gray area cut-off point and even go bankrupt, thus making shareholders reduce their share prices for the safety of their shares in the capital market.

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 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 TINGKAT AKURASI MODEL ALTMAN Z-SCORE, INDEKS KEPAILITAN, DAN INDEKS IN05 SEBAGAI PREDIKTOR KEBANGKRUTAN PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2011-2015

Jurnal Ecogen ◽  
2018 ◽  
Vol 1 (4) ◽  
pp. 197
Author(s):  
Diana Novita
Keyword(s):  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Total Sample ◽  
Bankruptcy Prediction ◽  
Manufacturing Companies ◽  
Z Score ◽  
Sample Test ◽  
Score Model ◽  
Post Hoc

This study discusses the use of bankruptcy prediction model that does not exist applied in Indonesia and determine the accuracy of each model. The research objective is to analyze the differences in outcome prediction and know the model that has the best accuracy level between the model Altman Z-Score, Bankruptcy Index, and IN05 Index. This type of research is a comparative study, the population of all manufacturing companies listed on the Indonesia Stock Exchange in 2011 to 2015. The sample is determined by purposive sampling method so acquired 28 companies, and the total sample is 140 years old company. Data used is secondary data obtained from the official website of Indonesia Stock Exchange (www.idx.co.id). The analytical method used is the analysis of different test-independent k-sample test, descriptive statistics and the accuracy of the model using post hoc test and the type of error. The results show that: 1) there are significant differences between the model of the Altman Z-Score model Insolvency Index, and models IN05 index on manufacturing companies listed on the Stock Exchange. 2) The model has the best accuracy by post hoc test is a model of the Altman Z-Score and by type of error is the most accurate models are models IN05 index.Keywords: Altman Z-Score, Insolvency Index, IN05, Bankruptcy

scholarly journals Stock Prices Predicted by Bankruptcy Condition?

2018 ◽  
Vol 9 (2) ◽  
pp. 105-114
Author(s):  
Irawati Junaeni
Keyword(s):  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Sampling Method ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Analysis Method ◽  
Simple Regression Analysis ◽  
Score Model

This research had two objectives. First, it determined the prediction of the method of Altman Z-Score whether it could classify banking positions, bankruptcy, or financial distress in the go-public bank in Indonesia Stock Exchange. Second, it was to know the influence of value position of Altman Z-Score on the stock price. The population was 84 banking company listed on the Indonesia Stock Exchange in 2010-2015. The sampling method was purposive sampling. Moreover, data analysis method used was a simple regression analysis. For data processing, it used software Eviews 8. The Z-Score calculations predict the potential bankruptcy of go-public bank in 2010-2015. All results show that Z-Score has the small score of 1,81. It can be said there is a potential bankruptcy. For t-test, it can be concluded that Z-Score has the positive and significant effect on the stock price. The ability of Z-Score values in explaining the stock price is 95,50% while the remaining 4,50% is influenced by other variables that are not analyzed in the research. With some weaknesses of Altman’s Z-Score model, this research has the implication for management bank. It improves the financial performance for the future to avoid opportunity bankruptcy prediction. The results show how the effect of bankruptcy on banking stock prices.

scholarly journals Analisis Perbandingan Prediksi Kebangkrutan Bank Syariah Dan Bank Konvensional Menggunakan Altman’s EM Z- Score Model

2016 ◽  
Vol 11 (2) ◽  
pp. 1-25
Author(s):  
Agnes Anggun Minati ◽  
Gustati ◽  
Hidayatul Ihsan
Keyword(s):  
Commercial Banks ◽  
Profit Sharing ◽  
Bankruptcy Prediction ◽  
Islamic Banks ◽  
Manufacturing Companies ◽  
Z Score ◽  
Final Project ◽  
Score Model ◽  
Conventional Banks ◽  
Retained Earnings

The development of Islamic banks in Indonesia increasingly shows that Islamic banks are ready to become competitors for conventional banks. Islamic banks that use margin systems or profit sharing whereas conventional banks use interest systems give rise to different expectations. It is possible to have a difference in terms of bankruptcy prediction using the Altman EM Z-Score Model ratio. The Altman EM Z-Score Model is a modification of the Altman ratio in 2002 that is used for non-manufacturing companies and has not gone public. This final project aims to analyze the comparison of predictions of bankruptcy of conventional Islamic banks and banks using Altman's EM Z-Score Model for the period 2012-2014. This type of research is descriptive comparative research. The sample used was 11 Islamic Commercial Banks and 23 Conventional Commercial Banks selected using the purposive sampling method. Data analysis techniques use different tests in whitney SPSS version 20. Based on the results of Z '' - Score shows that Indonesian banks are in a healthy state, but Islamic banks are more stable than conventional banks, while the results of whitney test show there are differences in working capital to total assets, retained earnings to total assets, EBIT to total assets, but there is no difference in the book value of equity to total liabilities of Islamic banks and conventional banks.

scholarly journals Altman Z-Score Sebagai Pengukur Potensi Kebangkrutan PT. MNC Land Sebelum Dan Selama Pandemi Covid-19

2021 ◽  
Vol 11 (2) ◽  
pp. 177-184
Author(s):  
I Gusti Dwiyanti ◽  
A.A. Maheswari
Keyword(s):  
Negative Impact ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Analysis Model ◽  
Income Statement ◽  
Healthy State ◽  
Calculation Results ◽  
Long Time ◽  
Accommodation Sector ◽  
Score Model

MNC Land, as one of the companies engaged in the hotel accommodation sector, has also experienced a negative impact due to the pandemic. The income statement shows a decrease in the revenue account of PT. MNC Land. If the COVID-19 pandemic lasts for a long time, it will have the potential to cause bankruptcy.  Assessment of the potential bankruptcy prediction of the company can be measured through the Altman Z-Score analysis model. This study aims to assess the potential for bankruptcy of PT. MNC Land before and during the COVID-19 pandemic when measured by the Altman Z-Score model. The calculation results show that before COVID-19 spread to Indonesia (2017 – 2019) and during the pandemic (2020), PT. MNC Land Tbk is in a safe discriminant zone. The company is still in a healthy state and does not have financial problems or has no potential for bankruptcy.

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 Analysis of bankruptcy issues at manufacturing companies, sub-sectors of cosmetics and houseappliances registered in Indonesia Stock Exchange (IDX) year 2015-2017 using Altman Z-score

2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Marketing Performance ◽  
Grey Area ◽  
Manufacturing Company ◽  
Score Model

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.

scholarly journals A STUDY ON FINANCIAL HEALTH OF SELECTED PUBLIC SECTOR MANUFACTURING COMPANIES OF INDIA : WITH REFERENCE TO Z-SCORE ANALYSIS

2021 ◽  
Vol 9 (08) ◽  
pp. 857-865
Author(s):  
Nidhi Sharma ◽  
◽  
Shivani Peppal ◽  
Keyword(s):  
Public Sector ◽  
Grey Zone ◽  
Manufacturing Companies ◽  
Financial Health ◽  
Z Score ◽  
Common Condition ◽  
Score Analysis ◽  
Score Model

Financial distressed from a decade has become a common condition for manufacturing companies of India. Many public sector manufacturing companies have also witnessing poor financial health. This study has examined the financial health of eighteen selected public sector manufacturing companies which are further divided into four sectors as Metal, Sugar, Paper and Textile. The examination of financial health of selected companies has been performed by calculating Altman Z-score model for four year prior to become distressed. And it has been found by the analysis that most of the company was in either distressed zone or in grey zone. The study also finds that Altman Z-Score Model is a perfect tool to examine the health of public sector manufacturing companies.

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