scholarly journals Implementasi Model Finansial Distres Pada Perusahaan Manufaktur Yang Terdaftar di IDX Tahun 2015-2017

2020 ◽  
Vol 9 (1) ◽  
pp. 61-74
Author(s):  
Tuti Zakiyah ◽  
Wahyuni Windasari
Keyword(s):  
Logistic Regression ◽  
Financial Distress ◽  
Binary Logistic Regression ◽  
Z Score ◽  
Working Capital ◽  
Binary Variable ◽  
The Third ◽  
A Value ◽  
Univariate Model ◽  
Score Model

Manufacturing Company is a sample of this study, the dependent variable used in this study is a binary variable, namely whether the company is in financial distress or non-financial distress. Hypothesis testing uses binary logistic regression (Binary Logistic Regression) because the dependent variable is a combination of metric and non-metric (nominal). The model used is the Altman Z-Score model, Springate S-Score, Grover G-Score, Zmijewski X-Score, and univariate models. Of the five models, the best model is the Springate S-Score with a Nagelkerke R2 value of 0.582. the second is, Zmijewski X-Score with a value of 0.227 and the third best is the Univariate Model with a value of 0.042. Of the three best models, namely the Springate S-Score, Zmijewski X-Score and the Univariate Model. The implementation is that the ratios in these models are very important to be considered by companies as a sensitivity tool so that companies do not experience financial distress. ratios that are often used are ratios related to the company's ability to manage and produce net working capital, sales, debt and ability to generate profits from sales and profits from assets.

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 Working Capital, Sales, Operating Profit dan Cash Profit Terhadap Default Sukuk di Indonesia

2017 ◽  
Vol 4 (3) ◽  
pp. 173
Author(s):  
Atik Fazalina ◽  
Raditya Sukmana
Keyword(s):  
Logistic Regression ◽  
Z Score ◽  
Working Capital ◽  
Operating Profit ◽  
Dichotomous Variable ◽  
Score Model ◽  
Model Affect

This research aims to determine how four ratios from new altman z-score model affect sukuk default in Indonesia. The case of sukuk default in Indonesia occur by PT Berlian Laju Tanker. These ratios are working capital to total assets, sales to total assets, operating profit to total assets and the cash profit to total assets. Approach used is the logistic regression, as the dependent variable in this research is a dichotomous variable with two categories in the form of default and non-default. The sample used in the period 2007: Q1 to 2015: Q3. The results of this research obtained that the influence of four variables used are the working capital to total assets, sales to total assets, operating profit to total assets and the cash profit to total assets was significant toward sukuk default of Berlian Laju Tanker.

Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski)

2020 ◽  
Vol 3 (3) ◽  
pp. 122
Author(s):  
Andi Silvan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Good Condition ◽  
Financial Statement ◽  
Depth Information ◽  
Z Score ◽  
Industrial Manufacturing ◽  
Financial Difficulties ◽  
A Value ◽  
Score Method

AbstractThis study takes the topic of predicting corporate bankruptcies. This research dqlam use traditional methods Altman Z-Score and Zmijewski. The purpose of this study was to obtain in-depth information about predicting bankruptcy of companies that are not necessarily directly to bankruptcy, but there is financial distress.Based on the results of research conducted on the four (4) non industrial manufacturing company listed on the Indonesia Stock Exchange (BEI). Obtaining the value z-score represents the average company are in good condition, which means no financial distress. Acquisition value of x-score has a value of less than 0 (zero) which means that the company is in good condition and is predicted not experiencing financial difficulties. This study led to the conclusion that the Altman Z-Score and Zmijewski method can be used to predict corporate bankruptcy. Keywords: Financial Ratios, Bankruptcy, Company.

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 Insolvency Risk. Application of Altman Z-score to the auto parts sector in Romania

2021 ◽  
Vol 7 (4) ◽  
pp. 37-48
Author(s):  
Rodica Baciu ◽  
Brezeanu Petre ◽  
Adrian Simon
Keyword(s):  
Interest Rates ◽  
Motor Vehicle ◽  
Stress Test ◽  
Future Research ◽  
Z Score ◽  
Working Capital ◽  
Insolvency Risk ◽  
Medium Risk ◽  
Capitalization Rate ◽  
Score Model

This paper intends to apply the Altman Z-score model to all the companies active in the wholesale of motor vehicle parts and accessories (NACE 4531), with extended financial statements. Using the panel data model over the time series for 2008-2016 on the companies of this sector, we conclude that 99% of the Z-score is explained by the independent variables (working capital, capital structure, turnover, earnings before interest and tax), with estimated parameters very close to the models classical values. The sample description of the paper and the corresponding results highlights the Z-score evolution by turnover clusters and principal components, with the largest companies performing the best (the only cluster with Z-score median above 3). We notice a tendency for decreasing high risk companies and increase in the medium risk companies, whereas the low risk companies are relatively stable. This improvement is mostly due to increasing capitalization rate and less external debt, despite the deteriorating working capital and operating margin. We believe that future research to evaluate Z-score sensitivity under stress test scenarios would be very useful to provide an insight of companies’ insolvency risk amid increasing interest rates and different fiscal tax on dividend.

scholarly journals PREDICTING FINANCIAL DISTRESS IN NURSING HOMES: AN APPLICATION OF THE ALTMAN Z-SCORE MODEL

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 185-186
Author(s):  
J. Lord ◽  
R. Weech-Maldonado ◽  
G. Davlyatov
Keyword(s):  
Nursing Homes ◽  
Financial Distress ◽  
Z Score ◽  
Score Model

scholarly journals Analisis Financial Distress Menggunakan Metode Altman Z–Score pada PT. Golden Plantation Tbk. Periode 2014-2018

2021 ◽  
Vol 2 (1) ◽  
pp. 102-121
Author(s):  
Cintya Meiske Idi ◽  
Johanis Darwin Borolla
Keyword(s):  
Financial Distress ◽  
Quantitative Data ◽  
Financial Statements ◽  
Future Research ◽  
Z Score ◽  
Analysis Method ◽  
Working Capital ◽  
Dangerous Zone ◽  
Score Method ◽  
Selection Of

The goal of this study is to decide how the effects of the analysis of predictions of financial distress using the Atlman Z-score method with estimates for the period 2014-2018 on PT Golden Plantation Tbk are determined. PT Golden Plantation, which is a business engaged in the oil palm plantation industry with the type of data used, is the focus of this study, namely quantitative data in the form of the financial statements of PT Golden Plantation for the period 2014 to 2018. And the Altman Z - Score Adjusted variable aproach is the data analysis method used in this study. It can be inferred that, based on the findings of the report, the organization started to encounter financial distress in 2014. In 2015 to 2018 the altman z - score of PT Golden Plantation was <1.1 or a dangerous zone which means that PT Golden Plantation Tbk is in a bankrupt condition. And we can be sure that the company will also face financial problems in the next few years. This is attributable to the selection of debt used by the firm. The utilization of the company's existing debt tends to rise each year, exceeding the value of the company's current assets, so that the working capital of the company still has a negative variable. To Future research is suggested to add other variables in examining financial distress.

scholarly journals An application of Altman Z-score model to analyze the bankruptcy risk: cases of multidisciplinary enterprises in Vietnam

2019 ◽  
Vol 16 (4) ◽  
pp. 181-191 ◽  
Author(s):  
Diep Thanh Tung ◽  
Vo Thi Hoang Phung
Keyword(s):  
Small And Medium Enterprises ◽  
Binary Logistic Regression ◽  
Z Score ◽  
Financial Reports ◽  
Bankruptcy Risk ◽  
The Sustainable Development ◽  
Financial Factors ◽  
Score Model ◽  
Medium Enterprises ◽  
The Impact

This study applied Altman Z-score model to assess the bankruptcy risk of a set of multidisciplinary enterprises of various types, mainly small and medium enterprises, with data taken from official financial reports of 180 enterprises in Soc Trang province. The binary logistic regression was employed to assess the impact of non-financial and financial factors on the bankruptcy risk of enterprises. The research findings showed that both the non-financial factors such as business area, types and size of the business, the educational level of managers and executors and other characteristics, and the financial factors (indicators) such as earnings before tax, net profit/equity ratio, earnings before interest and tax/total assets ratio, equity/total debt ratio, affect the bankruptcy risk of enterprises. Predicting the bankruptcy risk and measuring its determinants play an important role not only as an effective managing tool of the business, but also as evidence for policymakers to support the sustainable development of business.

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.

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