scholarly journals Analisis Altman Z-Core pada Perusahaan Manufaktur Sub Sektor Otomotif yang Terdaftar di Bursa Efek Indonesia

2012 ◽  
Vol 13 (2) ◽  
pp. 135-148
Author(s):  
Andreas Suhendi ◽  
Keyword(s):  
Financial Distress ◽  
Research Method ◽  
Stock Exchange ◽  
Ratio Method ◽  
Manufacturing Companies ◽  
Z Score ◽  
Financial Ratio ◽  
Analysis Techniques ◽  
Score Model ◽  
Descriptive Method

This research aims to know the financial performance of companies with the Altman Z-Score Model in the Automotive Sub-Sector Manufacturing Companies Listed on the Indonesia Stock Exchange in 2016-2018. The research method used in this study is a descriptive method with data analysis techniques using the financial ratio method. The results showed that PT. Astra International Tbk, PT. Astra Otoparts Tbk, PT. Gajah Tunggal Tbk and PT. Indospring Tbk is safe from the threat of bankruptcy, while the highest average Z-Score is achieved by PT Selamat Sempurna Tbk and the lowest average Z-Score is achieved by PT Indomobil Sukses International Tbk. Thus, the Company is expected to maintain company liquidity, restructure debt, minimize receivables, increase profit levels and maximize marketing in order to increase sales so that the potential for financial distress in the company can be minimized.

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 COMPARISON OF ALTMAN'S Z - SCORE MODEL AND ALTMAN'S Z''- SCORE MODEL ON THE SAMPLE OF COMPANIES WHOSE SHARES ARE INCLUDED IN THE REPUBLIC OF SRPSKA STOCK EXCHANGE INDEX

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Goran Radivojac ◽  
Aleksandra Krčmar ◽  
Boško Mekinjić
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Emerging Market ◽  
Manufacturing Companies ◽  
Financial Health ◽  
Z Score ◽  
Insolvency Risk ◽  
Privately Held Firms ◽  
The Republic ◽  
Score Model

In this paper, we analysed companies whose shares are included in the Republic of Srpska Stock Exchange Index (BIRS), using Altman's Z-Score model and Altman's Z"-Score model, in order to determine their insolvency risk. Altman's Z-Score is a combination of five weighted financial ratios used to estimate the likelihood of financial distress, and possible bankruptcy of the observed companies. It is used widely by auditors, accountants, commercial banks, and other organizations to assess the financial health of their clients. Altman also developed revised versions of the model to assess the financial health of privately-held firms and non-manufacturing companies, as well as companies in emerging markets - Altman's Z'- Score model and Altman's Z" - Score model. The results of our research on a sample of 14 companies whose shares are included in BIRS show that, although it is an emerging market, Altman's Z-Score model gives better results that indicate much-needed caution when drawing conclusions about the observed companies.

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 MODEL ALTMAN Z-SCORE UNTUK MEMPREDIKSI FINANCIAL DISTRESS : STUDI EMPIRIS PADA INDUSTRI MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

JURNAL PUNDI ◽  
2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Lidya Martha ◽  
Sri Mardhatillah ◽  
Zusmawati Zus
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Purposive Sampling ◽  
Financial Difficulties ◽  
Grey Area ◽  
Score Model ◽  
A Company

Financial distress is the financial difficulties experience by a company before the company become bankruptcy (Mafiroh, 2016). The purpose of this study was to determine which firms would be predicted financial distress. The population in this research is manufacturing companies listed in Indonesia Stock Exchange in 2015. In this study, the population is used 365 companies. The process of collecting samples are using purposive sampling method. The model used to analyze the rate of financial distress is Altman Z-Score Model. The results showed that of the 15 companies that were sampled 5 (five) of them were healthy (>2,99), 2 (two) of them were financial distress (<1,81) and 8 (eight) indicated in grey area (1,81 – 2,99).  

scholarly journals BANKRUPTCY ANALYSIS USING ALTMAN Z SCORE MODEL IN MANUFACTURING COMPANY AT INDONESIA STOCK EXCHANGE IN 2013-2014

2017 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Suci Kurniawati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Financial Statements ◽  
Asia Pacific ◽  
Manufacturing Companies ◽  
Z Score ◽  
Score Model ◽  
Score Index

Analysis of financial distress is very important, because it enables to assess an indication of the company's financial distress, how the indication of financial distress using Altman z-score in industry manufacturing sector in 2013-2014, and whether the Altman z-score model can be used as a tool in predicting the tendency of financial distress. The purpose of this study is to analyze the financial distress of 125 manufacturing companies with different sectors and subsectors using Altman Z-Score model in 2013 and 2014. The source of data used was secondary data, such as financial statements of manufacturing companies’ publication issued by BEI and obtained from the internet by downloading through the website: www.idx.com. This study employed descriptive quantitative method. The findings of the Z-Score index on manufacturing companies in 2013 were occupied by PT. Intan Wijaya International Tbk. in chemical subsector, and in 2014 Herbal and Pharmaceutical Industry of PT Sido Muncul Tbk. was the first highest rank and healthy condition.  Whereas the lowest rank was PT. Asia Pacific Fiber Tbk. in textile and garment sub-sector in 2013 and 2014, having financial distress condition. The findings of this study are not consistent or even in accordance with the reality which shows that the Altman method cannot be used as a tool to indicate a tendency towards company’s financial distress.

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 Pengaruh Sales Growth dan Keahlian Keuangan Komite Audit terhadap FinancialDistress.(Studi Empiris Pada Perusahaan Manufaktur Sub Sektor Otomotif dan Komponen yang Terdaftar di Bursa Efek IndonesiaPeriode 2012-2016)

2019 ◽  
Vol 21 (2) ◽  
Author(s):  
Nurhayati Nurhayati
Keyword(s):  
Financial Distress ◽  
Research Method ◽  
Audit Committee ◽  
Stock Exchange ◽  
Balance Sheet ◽  
Linear Regression Method ◽  
Sales Growth ◽  
Manufacturing Companies ◽  
Financial Expertise ◽  
Negative Effect

Abstract. This study aims to determine the effect of sales growth and financial expertise of audit committee to financial distress. The research method used is descriptive research method with quantitative approach. Analyzer used in this research is multiple regression analysis by using sample of research as many as 9 manufacturing companies of the automotive and component sub-sector listed on The Indonesia Stock Exchange in 2012-2016. Hypothesis testing is done by multiple linear regression method using SPSS version 17. The result showed that the sales growth variable has no significant negative effect to financial distress, and financial expertise of audit committee has negative and significant effect to financial distress. The result of this study can be recommendation for investor to be able to analyse the company’s financial statements related to the decision to invest. Recommendation for the next researchers to be able to research all of manufacturing companies listed on Indonesia Stock Exchange and used other indicator of financial ratios contained in balance sheet, income statements, and cash flow statements.Keywords: Financial Distress, Audit Committee Financial Expertise, Sales Growth.

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 Analysis on the Performance of Technology Companies with Z-score Model

2018 ◽  
Vol 7 (4) ◽  
pp. 633-639
Author(s):  
Lam Weng Hoe ◽  
Yeoh Hong Beng ◽  
Lam Weng Siew ◽  
Chen Jia Wai
Keyword(s):  
Organizational Performance ◽  
Financial Distress ◽  
Dominant Factor ◽  
Z Score ◽  
Financial Ratio ◽  
Technology Sector ◽  
Financial Failure ◽  
Distress Level ◽  
Information And Communication ◽  
Score Model

Local technology sector plays a significant role in information and communication technology (ICT) based innovations and applications which enhance organizational performance as well as national economic growth and labor productivity. In this paper, financial performance of the listed Malaysia companies in technology sector is analyzed and evaluated. Altman’s Z-score model is proposed due to its robustness in determining companies’ financial distress level using five financial ratios as variables. The computed Z-score values classify the financial status of the companies into distress, grey and safe zones. This study investigates the financial data of 23 listed technology-based companies in the Main Market of Bursa Malaysia over the period of 2013 to 2017. The findings reveal that the percentage of safe zone companies increase throughout the five years whereas distress zone companies decline. It is concluded that financial ratio for market value of equity to total liabilities is the dominant factor that directly influences the level of financial distress among these technology-based companies in Malaysia. These research outcomes provide an insight to investors or policy makers to develop future planning in order to avoid financial failure in local technology sector.

scholarly journals DOES FINANCIAL DISTRESS HAS AN EFFECTS ON AUDIT REPORT LAG? (STUDY ON MANUFACTURING COMPANIES LISTED IN INDONESIA STOCK EXCHANGE)

AKUNTABILITAS ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 19-34
Author(s):  
Nur Khamisah ◽  
Anisa Listya ◽  
Nyimas Dewi Murnila Saputri
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Manufacturing Companies ◽  
Z Score ◽  
Audit Report ◽  
Audit Process ◽  
Final Sample ◽  
Cpa Firm ◽  
Big Four

This study aims to examine the effect of financial distress on audit report lag and how the size of CPA Firm moderate the effect between financial distress and audit report lag. This study was held at manufacturing companies listed on the Indonesia Stock Exchange in 2017-2019. The final sample there were 318 observations, with a purposive sampling method. The variable financial distress is measured by the Altman Z Score proxy, which is the best model for measuring the state of financial distress being experienced by the company. The size of CPA Firm is measured by dummy variables, given a value of 1 if it is a Big Four CPA Firm and 0 if it is not a Big Four CPA Firm. This study use multiple linear regression to analyze the data. Based on the results of the analysis found that financial distress has negative and significant effect on audit report lag. It means that the smaller the Z Score of a company (which means the company is experiencing financial distress), the longer the financial statement audit process will be. This negative relationship between financial distress is strengthened by the size of CPA Firm.

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