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.

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 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.

The Contribution of Profit-sharing Characteristics to the Performance of Islamic Banks

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Syafiq Mahmadah Hanafi
Keyword(s):  
Commercial Banks ◽  
Time Series Data ◽  
Banking System ◽  
Profit Sharing ◽  
Series Data ◽  
Islamic Banks ◽  
Financial Service Authority ◽  
The Public ◽  
Auto Regressive ◽  
Conventional Banks

Islamic commercial banks are highly identic with the profit-sharing as a sharia banking basic operational system. The profit-sharing becomes a specific characteristic of sharia banks as well as a distinction from conventional banks. Hence, this study aims to examine if the profit-sharing characteristic contributes to the performances of Islamic commercial banks in Indonesia. This study employed time series data derived from the Financial Service Authority (OJK) using regression-mixed test and auto-regressive heteroscedasticity (ARCH). The results pointed out that the profit-sharing system for the lending of Musharaka had an impact on the performance of sharia banks; while the profit-sharing for the funding of Mudaraba did not support the hypothesis with negative coefficient. The results suggest that the profit-sharing characteristic provides contribution to the performance of Islamic commercial banks through the lending of Musharaka. These results further indicate that the profit-sharing characteristic performed by Islamic commercial banks is proven to be effective in improving their performances. This study’s results have an implication for Islamic commercial banks to strengthen their profit-sharing characteristics and improve the public trust toward sharia banking system.

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 BANKRUPTCY PREDICTION USING ALTMAN Z-SCORE MODEL: A CASE OF PUBLIC LISTED MANUFACTURING COMPANIES IN MALAYSIA

2015 ◽  
Vol 3 (2) ◽  
pp. 178-186 ◽  
Author(s):  
Ishioma Odibi ◽  
◽  
Abdul Basit ◽  
Zubair Hassan ◽  
Keyword(s):  
Bankruptcy Prediction ◽  
Manufacturing Companies ◽  
Z Score ◽  
Score Model

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.

scholarly journals Perkembangan Bank Syariah Di Indonesia: Sebuah Kajian Historis

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
M. Dliyaul Muflihin
Keyword(s):  
Commercial Banks ◽  
Profit Sharing ◽  
The State ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Conventional System ◽  
Business Units ◽  
History Of Development ◽  
History Of ◽  
Conventional Banks

Banking in Indonesia is now increasingly enlivened by the existence of Islamic banks, which offer financial and investment products in different ways than conventional banks that have long existed. Even conventional banks in Indonesia are now following the trend by establishing their own Islamic institutions or Islamic business units. Recorded in 2012 Islamic banks have increased rapidly to become 11 Islamic Commercial Banks (BUS) and 24 Sharia Business Units (UUS). Islamic banks were born and developed in Indonesia starting from the birth of Bank Muamalat in 1992. Law Number 7 of 1992 concerning banking was born because in that year Bank Muamalah was the only bank that carried out business activities based on the principle of profit sharing. Furthermore, the culmination point has been reached with the enactment of Law Number 10 of 1998 concerning banking which opens the opportunity for anyone who will establish a Shari'ah bank or who wants to convert from a conventional system to a sharia system. Until the issuance of Law No.10 of 1998. Furthermore, Law No.10 of 1998 was amended by Law No. 21 of 2008 concerning Islamic banking because on June 17 2008 the Law on Islamic Banking was adopted which promulgated in the State Gazette on July 16 2008. Keywords: History of Development, Islamic Banking, Indonesia

scholarly journals What are the factors financial distress? The National Private Commercial Banks in Indonesia Case

2019 ◽  
Vol 2 (2) ◽  
pp. 13-20
Author(s):  
Nelmida Nelmida
Keyword(s):  
Factor Analysis ◽  
Financial Distress ◽  
Commercial Banks ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Manufacturing Companies ◽  
Z Score ◽  
Score Model ◽  
Asset Quality

This study employs to identify the determinant factors of the potential bankruptcy of National Private Commercial Banks listed on the Indonesia Stock Exchange. The type of data is secondary data derived from the company's financial statements from 2015-2017. The population of this research is all companies of National Private Commercial Banks listed on the Indonesia Stock Exchange with the purposive sampling technique of sampling 40 companies. The analytical method used to identify the potential for bankruptcy is used the modified Altman Z Score model for non-manufacturing companies in developing capital markets. To identify the determinants of potential bankruptcy is used the Factor Analysis method. Based on the analysis, it is obtained that the potential bankruptcy of the company as a sample has a value of Z Score> 2.60 (including safe zone or healthy category). Then based on the results of analysis factors from the 10 variables studied only 9 variables that found the requirements as a determinant of potential bankruptcy, namely: CAR, NPL, ROA, NIM, BOPO, LDR, CR, ECTA, and TATG variables are divided into 2 factors, namely factor 1 which consists of variables CAR, NIM, LDR, CR, ECTA, and TATG which are named Capital variables and Liquidity, while the one that includes factor 2 consists of variables NPL, ROA, and BOPO which are given variable names Asset Quality and Earning. Keywords: Potential bankruptcy; National Private Commercial Banks; and Factor Analysis; and Altman Z Score model

scholarly journals Pricing Linkage between Islamic Banking and Conventional Banking: The Case of Bangladesh

2016 ◽  
Vol 3 (4) ◽  
pp. 84
Author(s):  
Sarwar Uddin Ahmed ◽  
Ashikur Rahman ◽  
Samuel Parvez Ahmed ◽  
G M Wali Ullah
Keyword(s):  
Profit Sharing ◽  
Islamic Banking ◽  
Specific Rate ◽  
Islamic Banks ◽  
Loss Mechanism ◽  
Monthly Data ◽  
For Profit ◽  
Significant Difference ◽  
Conventional Banks ◽  
The Relationship

<p><em>Islamic banking is based on profit and loss mechanism where the use of interest is prohibited.  Unlike conventional banks, these banks do not charge a specific rate of interest, rather provides financing in exchange for profit sharing.  However, there are studies claiming that, in practice, Islamic banking is same as conventional banking with regard to the use of interest. It is also claimed that, Islamic deposits are not interest-free, but are closely attached to conventional deposits.  On this background, the objective of this study is to examine the relationship between pricing in Islamic banks vis-à-vis conventional banks by taking the case of Bangladesh. We have used monthly data during the period of 2009-2013. The findings of the study showed that, there is no statistically significant difference between the monthly average lending rates of Islamic banks and conventional banks. However, there is significant difference between deposit rates. The existence of causal relationship was inconclusive, and requires further analysis.</em></p>

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.

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