scholarly journals Bankruptcy Prediction for Non-Financial Firms of Pakistan

2015 ◽  
Vol 5 (2) ◽  
pp. 26
Author(s):  
Muhammad Sohaib Roomi ◽  
Waqas Ahmad ◽  
Muhammad Ramzan ◽  
Muhammad Zia-ur-Rehman
Keyword(s):  
Stock Exchange ◽  
Balance Sheet ◽  
Sampling Technique ◽  
Bankruptcy Prediction ◽  
Financial Health ◽  
Financial Reports ◽  
Financial Status ◽  
Financial Firms ◽  
Convenience Sampling ◽  
Score Model

In this study we use two models for the measuring of financial status of the non-financial firms which are listed in the Karachi Stock Exchange. The Non-financial companies represent the biggest slice at the Karachi Stock Exchange. The non-financial companies of Pakistan are the total population and sample size is 25 higher and 25 lower capital companies. The technique which used in this study was Convenience sampling technique and all 50 non-financial listed companies at KSE were included to gain deeper insights into this study. The State Bank of Pakistan shows balance sheet analyses of companies, for compiling of data financial reports were used for the years 2007 to 2012. The results of the study showed that Abbas model and Altman’s Z-Score model was a effective tool for checking the financial health of non-financial companies listed at Karachi stock exchange. This study further explores that lower capital firm have more financially distressed companies as compare to high capital  non-financial companies listed at KSE.

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 Comparative Analysis of Bankruption Prediction Models in Property and Real Estate Sector Companies Listed on the IDX 2017-2019

2021 ◽  
Vol 6 (1) ◽  
pp. 170-173
Author(s):  
Fika Andriani ◽  
Pardomuan Sihombing
Keyword(s):  
Comparative Analysis ◽  
Real Estate ◽  
Prediction Models ◽  
Stock Exchange ◽  
Sample Selection ◽  
Sampling Technique ◽  
Bankruptcy Prediction ◽  
Real Estate Sector ◽  
Score Model ◽  
The Right

This study takes the topic of comparative analysis of bankruptcy prediction models in the Property and Real Estate Sector companies listed on the IDX in 2017-2019. In this case, the test was conducted to compare the accuracy between the Altman Z-Score, Springate S-Score and Zmijewski X-Score models in predicting the bankruptcy of property and real estate companies. The sample consisted of 20 companies after the sample selection was carried out using purposive sampling technique. To obtain the right level of accuracy, a comparison of the distress or non-distress score categories of each bankruptcy model with the earnings per share (EPS) value of each company was carried out through a dummy variable. Through this test, it is known that the Zmijewski X-Score model is the most accurate model in predicting bankruptcy in the property and real estate sectors listed on the Indonesia Stock Exchange (IDX) by 90%.

scholarly journals BANKRUPTCY PREDICTION ANALYSIS USING THE ZMIJEWSKI MODEL (X-SCORE) AND THE ALTMAN MODEL (Z-SCORE)

2020 ◽  
Vol 1 (5) ◽  
pp. 794-806
Author(s):  
Viciwati Viciwati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Accuracy Rate ◽  
Financial Reports ◽  
Normality Test ◽  
The Difference ◽  
Score Model

This study aims to identify and analyze the accurate models of Financial Distress in retail companies listed on the Indonesian Stock Exchange in 2014-2018 using the Zmijewski (X-Score) and Altman (Z-Score) Model. The sample used is 70. This study uses secondary data from the 2014-2018 annual financial reports. This study tested the hypothesis using the normality test and the Kruskal Wallis test or the difference test using SPSS version 26. The results of this study indicate that the Zmijewski (X-Score) model is the model that has the highest accuracy rate in predicting bankruptcy with an accuracy rate of 90%.

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.

scholarly journals Validity of Altman Z-Score Model to Predict Financial Failure: Evidence From Jordan

2018 ◽  
Vol 10 (8) ◽  
pp. 181 ◽  
Author(s):  
Sufian Al-Manaseer ◽  
Suleiman Al-Oshaibat
Keyword(s):  
Stock Exchange ◽  
Financial Statement ◽  
Insurance Companies ◽  
Z Score ◽  
Financial Reports ◽  
Financial Failure ◽  
Amman Stock Exchange ◽  
The Face ◽  
The Subject ◽  
Score Model

This paper aims to investigate the Validity of Altman z-score model to predict financial failure in insurance companies listed on Amman Stock Exchange (ASE) over the period 2011-2016. To achieve the goal of the study, the study depended on the different statistics analytical method and Multiple Linear Regression through doing the statistical analysis of the independent variables on the dependent variable related to the subject of the study through the (E-views) program in order to cover the analytical part of the study, in addition to the descriptive method through relying on books, periodicals, previous studies and financial reports of the insurance companies of the study’ sample, whether the direct or the indirect ones, to cover the theoretical part. The result of the study finds a high predictive power for Z-score model. Moreover, the findings reveal that Z-Score model could be valuable instrumental indicators for many users of financial statement such as financial managers, auditors, lenders, investors, to make right decisions in the face of financial failure.

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 The Influence of KAP Size, Institutional Ownership, and Audit Committee on The Quality of Financial Statements

2021 ◽  
Vol 4 (1) ◽  
pp. 82
Author(s):  
Adris Kuncoro ◽  
Dhini Suryandari
Keyword(s):  
Audit Committee ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Institutional Ownership ◽  
Financial Statements ◽  
Financial Reports ◽  
The Relationship ◽  
Positive Effect ◽  
Descriptive Statistical Analysis

This research aims to examine the relationship between KAP size, institutional ownership, and the audit committee on the quality of financial reports. 616 Indonesian Stock Exchange (IDX) companies in 2018 became the population in this study. Purposive sampling as a sampling technique resulted in 547companies. Using inferential logistic regression analysis and using descriptive statistical analysis hypothesis testing methods with IBM SPSS version 25 tools. This study found that the KAP size and the audit committee has a positive effect on the quality of financial reports. Institutional ownership does not affect the quality of financial reports. Simultaneously, KAP size, institutional ownership, and audit committee influence the quality of financial reports. This study concludes that partially, KAP size and audit committee has a positive effect on the quality of financial reports. Simultaneously, KAP size, institutional ownership, and audit committee affect the quality of financial reports. Further research suggests using other proxies, other periods, and other variables.

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 Impak Struktur Modal, Struktur Kepemilikkan dan Karakteristik Perusahaan Terhadap Financial Distress dan Financial Health Perusahaan

2021 ◽  
Vol 23 (1) ◽  
pp. 135-149
Author(s):  
Ratnawati Raflis ◽  
Enny Arita
Keyword(s):  
Logistic Regression ◽  
Capital Structure ◽  
Financial Performance ◽  
Ownership Structure ◽  
Financial Distress ◽  
Stock Exchange ◽  
Financial Health ◽  
Z Score ◽  
Score Model ◽  
The Impact

Corona Virus Pandemic affected the world economy, including Indonesia. Many companies are out of business due to this pandemic.With the background of the conditions mentioned above, the researchers are interested in examining more deeply the variables that determine the level of financial distress and at the same time the financial health of the company. Furthermore, the variables that are used as independent variables and are thought to affect the company's financial performance are capital structure, ownership structure and company characteristics. In assessing financial performance, the Altman Z Score model is used and then to see the impact of the variables that are thought to affect the company's financial performance.The research model used is the Logistic Regression equation.Population and sample are taken from financial data of companies listed on the Indonesia Stock Exchange. Data is taken manually on the website: www.idx.co.id. And the period in this study was taken from 2015-2019. The test results prove that the Capital Structure and Ownership Structure are factors that have a significant influence on the Company's Financial Distress and Financial Health. ABSTRAK Pandemi Virus Corona berimbas pada perekonomian dunia tidak terkecuali pada perekonomian di Indonesia. Banyak perusahaan yang gulung tikar akibat pandemik ini. Dengan berlatar belakang kondisi tersebut diatas maka peneliti tertarik untuk mengkaji lebih dalam menentukkan variabel yang sangat menentukan tingkat Financial Distress dan sekaligus financial health (Kinerja Keuangan) perusahaan. Selanjutnya variabel yang di jadikan variabel independen dan di duga berpengaruh terhadap kinerja keuangan perusahaan adalah struktur modal, struktur kepemilikkan dan Kharakteristik Perusahaan. Dalam menilai kinerja keuangan maka digunakan model Altman Z Score dan selanjutnya untuk melihat dampak variabel yang di duga berpengaruh terhadap kinerja keuangan perusahaan. Model penelitian yang di pakai adalah persamaan Logistic Regression. Model ini kemudian akan di lakukan uji T , Uji F dan Uji Asumsi Klasik sebelum di gunakan dalam melihat signifikasi variabel independen terhadap variabel dependen. Populasi dan sampel diambil dari data keuangan perusahaan yang terdaftar di Bursa Efek Indonesia. Data diambil secara manual di website: www.idx.co.id. Periode pada penelitian ini diambilkan data dari tahun 2015-2019. Hasil Pengujian membuktikan bahwa Struktur Modal dan Struktur Kepemilikkan adalah faktor yang sangat berpengaruh signifikan terhadap Financial Distress dan Financial Health Perusahaan.

scholarly journals PENGARUH INDEPENDENSI DEWAN PENGAWAS SYARIAH DALAM MEWUJUDKAN GOOD CORPORATE GOVERNANCE UNTUK MENINGKATKAN KINERJA BMT

2017 ◽  
Vol 3 (01) ◽  
pp. 77
Author(s):  
Iin Emy Prastiwi
Keyword(s):  
Corporate Governance ◽  
Survey Research ◽  
Sampling Method ◽  
Balance Sheet ◽  
Supervisory Board ◽  
Sampling Technique ◽  
Test Reliability ◽  
Reliability Test ◽  
Good Corporate Governance ◽  
Convenience Sampling

This study aims at determining the contribution of the independence Sharia Supervisory Board and Good Corporate Governance individually and simultaneously to the performance of the BMT  in  Sukoharjo  and  Karanganyar.  This  study  was  a  survey  research  with  a  quantitative approach. The populations in this study were the manager and supervisor of BMT. The sampling technique was a convenience sampling method possible. Samples taken as many as 30 data were spread at 9 BMT in Sukoharjo, and 6 BMT in Karanganyar. Data were taken by using a questionnaire and the analysis of the balance sheet and profit and loss. Testing of instruments used validity test, reliability test, test of sub-structures I, II, and III and then are analyzed by Path Analysis. The results in this study are: (1) the independency of the Sharia Supervisory Board affects significantly positive on the Good Corporate Governance of 65.4%. (2) the independence of the Sharia Supervisory Board affects significantly negative on the performance of 0,244, (3) Good Corporate Governance affects significantly positive on the performance of 1,125. (4) The independency of the Sharia Supervisory Board and Good Corporate Governance affect significantly positive on the performance of 88.1%.

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