scholarly journals THE EFFECT OF FINANCIAL RATIO ON FINANCIAL DISTRESS IN PREDICTING BANKRUPTCY

2018 ◽  
Vol 2 (1) ◽  
pp. 110-120 ◽  
Author(s):  
Joko Supriyanto ◽  
Arif Darmawan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Analytical Techniques ◽  
Total Sample ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Mining Companies ◽  
Retained Earnings ◽  
Positive Effect

This study was conducted to investigate Financial Distress in mining companies listed on the Indonesian Stock Exchange (BEI) during the 2011-2014 period using the Altman Z-Score Modification. Total sample that gathered from mining companies is 119 companies, analytical techniques used in this study is the Altman Z-score that consists of four ratios, which are the Net Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total asset (X3), Market Value of Equity to Book Value of Debt (X4.). This test used SPSS 22 to test the hypothesis, the hypothesis testing results are: Net Working Capital to Total Assets has a positive effect on Financial Distress, Retained Earnings to Total Assets has a positive effect on Financial Distress, Earnings Before Interest and Tax to Total Assets has a positive effect on Financial Distress, Book Value of Equity to Total Liabilities has a positive effect on Financial Distress. This study only used mining companies sector, the further research is recommended to use the other sector companies that have larger numbers of samples.

scholarly journals PREDICTING THE POTENTIAL BANKRUPTCY OF COAL MINING COMPANIES USING ALTMAN Z-SCORE METHOD DURING 2012-2016 PERIOD

2020 ◽  
Vol 8 (1) ◽  
pp. 491-500
Author(s):  
Rihfenti Ernayani
Keyword(s):  
Coal Mining ◽  
Stock Exchange ◽  
Study Data ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Mining Companies ◽  
Grey Area ◽  
Score Method ◽  
Retained Earnings

Purpose of the study: This study aimed to determine and predict potential bankruptcy in coal mining companies listed in Indonesia Stock Exchange (IDX) period 2012-2016. Methodology: This study to using the Altman Z-Score method, with five (5) ratios, namely Working Capital to Total Asset, Retained Earnings to Total Assets, Earning before interest and tax to total assets, Market Value of Equity to Book Value of Debt, and Sales to Total Assets. The ratio of working capital to total assets (X1) is a ratio of liquidity which measures the extent of working capital that is used to finance the total assets. Main Findings: The result showed, by the Z-Score value in 2016 from the coal mining companies studied, four companies fall in the category of potential bankruptcy, three companies in the grey area, and four in the healthy category. Applications of this study: Data sources in this study were coal mining companies listed on the Indonesia Stock Exchange (IDX) for the period 2012-2016. Novelty/Originality of this study: There are 11 coal mining companies taken as sample based on purposive sampling. The result shows, by the Z-Score value in 2016 from the coal mining companies studied, four companies fall in the category of potential bankruptcy, three companies in the grey area, and four in the healthy category.

ANALISIS RASIO KEUANGAN UNTUK MEMPREDIKSI FINANCIAL DISTRESS PERUSAHAAN MANUFAKTUR DI BEI

2021 ◽  
Vol 9 (3) ◽  
pp. 31-40
Author(s):  
Akhmad Kurniadi
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Market Value ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Discriminant Model ◽  
Validation Rate ◽  
Value Equity ◽  
Retained Earnings

ABSTRACT This study aims to examine the prediction of the company's financial difficulties using the Altman Z-score 1968 model and the effect of financial ratios including working capital to total assets, retained earnings to total assets, earnings before interest and tax to total assets, market value equity to book value. of total liabilities, and sales to total assets on financial distress. The sample used in this study is a manufacturing company listed on the Indonesia Stock Exchange (BEI) 2015-2019. Sampling in this study using purposive sampling method and obtained 64 companies. The results showed that the variables Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total Assets (X3), Market Value Equity To Book Value of Total Liabilities (X4), and Sales to Total Assets (X5) has a positive effect on financial distress, and the most significant effect on financial distress is the variable Retained Earnings to Total Assets. From the results of SPSS 17.0 processing, the equation Z = -1,813 + 1,216 X1 + 1,837 X2 + 0.122 X3 + 0.070 X4 + 0.506 X5 is produced. Meanwhile, the discriminant model that was formed had a high enough validation rate, namely 97.6%. Keywords: Financial ratio analysis; Financial distress; Altman Z-score

scholarly journals Analysis Of Financial Health Level On Financial Performance In Cement Companies Listed On The Indonesian Stock Exchange (Idx)

2020 ◽  
Vol 18 (3) ◽  
pp. 125
Author(s):  
Dhea Zatira ◽  
Ria Puspitasari
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Market Value ◽  
Financial Health ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Panel Data Regression ◽  
Data Regression ◽  
Retained Earnings

This study aims to analyze the Level of Financial Soundness on Financial Performance in Cement Companies that are Go Public Listed on the Indonesia Stock Exchange (BEI). Analysis of the level of financial health using the Altman Z-Score with several ratios, namely the ratio of Working Capital to Total Assets (X1), the ratio of retained earnings to total assets (X2), the ratio of EBIT to Total Assets (X3), the ratio of stock market value to book value ofabilities (X4), the ratio of Sales to Total Assets (X5) to the dependent variable on Financial Performance (Return on Assets). The data analysis technique used in this research is the Altman Z-Score with the criteria for bankruptcy and to find its effect with the panel data regression model assisted by E-Views software. The results of the calculation and analysis of the Z-Score criteria in cement companies in Indonesia, it is known that there is no cement company whose company finances are stated in a healthy condition. One company is prone to bankruptcy (gray zone) while the rest according to the Z-Score criteria are bankrupt. Furthermore, based on the panel data regression examiner simultaneously the five independent variables on financial performance (Y), while partially the working capital ratio to total assets (X1) affects financial performance (Y), the retained earnings ratio to total assets (X2) has no effect on Financial performance (Y), EBIT ratio to total assets (X3) affects financial performance (Y), stock market value ratio to book value of liabilities (X4) has no effect on financial performance (Y), Sales to Total Assets ratio (X5) affect financial performance.

ANALISIS FINANCIAL DISTRESS STUDI EMPIRIS PADA PERUSAHAAN MANUFAKTUR YANG LISTING DI BURSA EFEK INDONESIA

2017 ◽  
pp. 1-19
Author(s):  
Abdonsius Sitanggang
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Net Income ◽  
Financial Health ◽  
Z Score ◽  
Working Capital ◽  
Financial Condition ◽  
Total Debt ◽  
Manufacturing Company ◽  
Positive Effect

The research aims to analyze the financial conditions to assess financial health at a manufacturing company in Indonesia Stock Exchange Listings. The benefits of the research is to provide material information to management and stakeholders regarding financial health as a material consideration for management or other parties, such as investors and potential investors, creditors and other parties for decision making. The population of the research was the financial report of a manufacturing company in Indonesia stock exchange listing as many as 140 companies. Sample research is as many as 30 companies. Opersionalisasi research is variable: the ratio of working capital to Total Assets, the ratio of net income to Total Assets was detained, the ratio of EBIT to Total Assets, and the ratio of the value of the capital markets themselves by taking action against Total Debt in 2009-2011. The required data are secondary data collected through technical documentation, data analysis techniques used are descriptive method. Based on the results of the study it can be concluded that corporate financial kondish manufacturing Indonesia stock exchange listings are rated from financial ratios, that ratio analysis is not membarikan a clear picture to stakeholders about health conditions and symptoms of the bankruptcy of the company. The listhne manufacturing company in BEI has not used the Z-Score model to know their financial health. Sporting results results of the discriminant equation obtained data 0, 553X1 0, 507X2 0, 409X3 0, 009X4. The value of the discriminant tells us that the ratio of working capital to Total Assets, the ratio of net income to Total Assets was detained, the ratio of EBIT to Total Assets and the ratio of the value of Own capital market Debt to Total positive effect of bankruptcy prediction manufacturing company listed in the stock exchange Inonesia. Wilks Lambda test results show that the ratio of working capital to Total Assets Ratio Return on hold, with a Total Assets, the ratio of EBIT to Total assets and market value of private equity with Total debt, significant positive effect on the symptoms of a manufacturing company in bankruptcy listings in Indonesia stock exchange. The z-score of 2009 indicates that its financial condition healthy companies as much as 22 companies and there are 8 companies in financial distress, indicating conditions are forecast to be bankrupt. In 2010, there were 21 companies that have a healthy financial condition while nine companies in In 2011, there are 24 companies that have a healthy financial condition while 6 company again in conditions of financial distress which indicates the forecast will go bankrupt. The advice given as consideration to the company is the company should implement a Z-Score method for knowing the financial condition, whether in financial distress or in kodisi healthy so that management and the users of the financial statements and other information to assess and predict the likelihood of the presence of symptoms of the bankruptcy of the company

scholarly journals PREDIKSI FINANCIAL DISTRESS PADA PT. BANK RAKYAT INDONESIA (Persero) TBK. SEBELUM DAN SEMASA PANDEMI COVID-19

2021 ◽  
Vol 6 (1) ◽  
pp. 20-25
Author(s):  
Didi Rahmat
Keyword(s):  
Data Analysis ◽  
Financial Performance ◽  
Financial Distress ◽  
Market Value ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Gray Area ◽  
Normal Period ◽  
Retained Earnings

This study aims to see how the financial performance of PT. Bank Rakyat Indonesia (Persero) Tbk. studied from the Financial Distress approach. The data taken is from the period 2017 to 2019 (normal period) and 2020 (the period of the Covid-19 pandemic in Indonesia). Altman Z Score is used as an approach in data analysis by using five indicators, Working capital to total assets (WCTA), Retained earnings to total assets (RETA), Earnings before interest and taxes to total assets (EBITTA), Market Value of equity / Book value of debt (MVEBVD) and Sales / total assets (SATA). From the results of data analysis, it was found that before the Covid-19 pandemic the company was classified as healthy. Changes occurred during the Pandemic the company was in the Gray Area which meant there were financial problems.

scholarly journals PENGARUH FREE CASH FLOW, FINANCIAL DISTRESS, DAN INVESTMENT OPPORTUNITY SET TERHADAP MANAJEMEN LABA

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Sally Irawan ◽  
Prima Apriwenni
Keyword(s):  
Earnings Management ◽  
Cash Flow ◽  
Financial Distress ◽  
Stock Exchange ◽  
Total Sample ◽  
Free Cash Flow ◽  
Investment Opportunity ◽  
Purposive Sampling ◽  
Investment Opportunity Set ◽  
Positive Effect

<p><strong><em>ABSTRACT :  </em></strong><em>Stakeholders pay attention to the earnings report, thus encouraging company managers to plan strategies to produce reports expected by stakeholders. Earnings management is one way that can be done. Managers can intervene the earnings management by increasing or decreasing profit in order to achieve a certain level of profit which benefits himself or the company. This study aims to determine the influence of free cash flow, financial distress, and investment opportunity set on earnings management. </em><em>The research sample consisted of 11 infrastructure, utility, and transportation companies listed on the Indonesia Stock Exchange in 2014-2018 with the total sample of 55 data. This study used a purposive sampling method and was tested with SPSS 22.0 Software. The results show that the data have met the pooling test, classical assumptions and established criteria. The results of the F test show that the earnings management variable is affected simultaneously by free cash flow, financial distress, and investment opportunity set variables. The t test results show that the free cash flow and investment opportunity set have a significant positive effect on earnings management, whereas financial distress does not. In sum, there is enough evidence that free cash flow and investment opportunity set positively affect earnings management, but financial distress does not have enough evidence to influence earnings management.</em></p><p><strong><em>Keywords: </em></strong><em> Earnings Management, Free Cash Flow, Investment Opportunity Set, Financial Distress.</em></p><p><em> </em></p><p><strong>ABSTRAK:</strong> Laporan laba menjadi perhatian para <em>stakeholders</em> sehingga mendorong manajer perusahaan melakukan perencanaan strategi untuk menghasilkan laporan yang diharapkan <em>stakeholder</em>. Manajemen laba adalah salah satu cara yang dapat dilakukan. Intervensi manajer untuk melakukan manajemen laba dengan cara menaikkan atau menurunkan laba guna mencapai tingkat laba tertentu untuk menguntungkan dirinya sendiri atau perusahaan. Penelitian ini bertujuan untuk mengetahui pengaruh <em>free cash flow, financial distress, </em>dan <em>investment opportunity set </em>terhadap manajemen laba. Sampel penelitian ini adalah perusahaan infrastruktur, utilitas, dan transportasi yang terdaftar di Bursa Efek Indonesia periode 2014-2018. Total sampel yang digunakan adalah 11 perusahaan dengan data observasi yang diperoleh sebanyak 55. Teknik pengambilan sampel yang digunakan adalah <em>non-probability sampling</em> dengan menggunakan metode <em>purposive sampling</em> dan pengujian yang dilakukan dengan bantuan <em>software</em> SPSS 22.0. Hasil penelitian dari data yang digunakan,  untuk uji pooling dan asumsi klasik telah lulus uji dan sudah memenuhi kriteria yang ditetapkan. Hasil uji F menunjukkan bahwa variable manajemen laba dipengaruhi secara simultan oleh variable <em>free cash flow, financial distress, </em>dan <em>investment opportunity set. </em>Dari hasil uji t memperlihatkan hasil bahwa <em>free cash flow </em>dan<em> investment opportunity set </em>mempunyai nilai signifikan positif terhadap manajemen laba, tapi untuk <em>financial distress </em>tidak mempunyai nilai signifikan terhadap manajemen laba. Kesimpulan dari penelitian ini adalah<em> free cash flow </em>dan <em>investment opportunity set </em>berpengaruh positif terhadap manajemen laba, sedangkan <em>financial distress </em>tidak berpengaruh terhadap manajemen laba.</p><p><strong>Kata Kunci:</strong> Manajemen Laba,<em> Free Cash Flow,  Investment Opportunity Set, Financial Distress</em></p><p> </p>

scholarly journals Analisis Perbandingan Financial Distress Pada Perusahaan Sub Sektor Rokok Periode 2015-2019

2021 ◽  
Vol 3 (3) ◽  
pp. 157-163
Author(s):  
Anang Makruf ◽  
Deni Ramdani
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Market Value ◽  
Sampling Technique ◽  
Z Score ◽  
Book Value ◽  
Purposive Sampling ◽  
Quantitative Models ◽  
A Company ◽  
Analyze Data

Abstract – The aim of the study was to analyze financial distress in cigarette companies list in Indonesia Stock Exchange in 2015-2019 using 3 methods, Altman Z-Score, Zmijewski, and Springate. Purposive sampling is used in this study to determine the sampling technique. The sample used in this study released 4 cigarette companies. Descriptive asalysis with quantitative models was used to analyze data in this research. Altman Z-Score, Zmijewski, and Springate in 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, and PT. Wismilak Inti Makmur Tbk is related to safe, but it is needed a company that is estimated to be grey in the Altman Z-Score calculation in 2018, PT. Wismilak Inti Makmur Tbk. The Z-score is at the limit because the companie has a ratio with a lower value in market value of equity  to book value of liabilities   Abstrak – Penelitian ini memiliki bertujuan untuk menganalisis perbandingan kesulitan keuangan dalam perusahaan sun sektor rokok di Indonesia Stock Exchange periode 2015-2019 menggunakan tiga metode. Metode yang digunakan yaitu Altman Z-Score, Zmijewski, dan Springate. Purposive sampling digunakan dalam penelitian ini untuk menentukan teknik pengambilan sampel. Sampel yang digunakan berjumlah 4 perusahaan rokok. Analisis deskriptif dengan pendekatan kuantitatif digunakan sebagai teknik analisis data. Dalam penelitian ini menjelaskan financial distress yang dihitung menggunakan metode Altman Z-Score, Zmijewski , dan Springate pada tahun 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, dan PT. Wismilak Inti Makmur Tbk mengalami dalam kondisi keuangan yang sehat, namun terdapat perusahaan yang diestimasi rawan kebangkrutan pada perhitungan Altman Z-Score pada  tahun 2018 yaitu PT. Wismilak Inti Makmur Tbk. hal ini dapat terjadi  karena nilai Z-Score PT. Wismilak Inti MakmurTbk  berada pada Z < 1,81 salah satu penyebabnya ialah rendahnya rasio market value of equity terhadap liabilities.

scholarly journals ANALISIS PENILAIAN FINANCIAL DISTRESS MENGGUNAKAN MODEL ALTMAN (Z-SCORE) PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2013-2015

2017 ◽  
Vol 5 (1) ◽  
pp. 55
Author(s):  
Sri Yati ◽  
Katarina Intan Afni Patunrui
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Pharmaceutical Companies ◽  
Z Score ◽  
Financial Reports ◽  
Book Value ◽  
Total Debt ◽  
Score Model

This study aims to observe the financial distress assessment for pharmaceutical companies listed on the Indonesia Stock Exchange using the Altman Z-Score model. The sample is selected using purposive sampling method. Ten pharmaceutical companies were selected with the criteria listed in the Indonesia Stock Exchange (BEI) and regularly published financial reports in 2013 until 2015. Secondary data was derived from www.idx.co.id site.  The results indicate that the Altman Z-Score model can be implemented in detecting the possibility of financial distress in the pharmaceutical company. Working capital to total assets and book value equity to book value of total debt are two determinant variables which is determining the decrease in Z-score value in this research.  One from ten companies have the lowest value of the Z-Score and experiencing financial distress. For two years, the company is in distress zones but in the third year, the company is managed to increase the value of the company and included in the gray zones. This company must continue to strive in order to stabilize the company's financial and asset utilization to obtain maximum profit, and until it was declared as a healthy company.

FINANCIAL DISTRESS PREDICTION AND SEEING THE INFLUENCE OF THE ALTMAN RATIO ON COMPANY FINANCIAL DISTRESS

2018 ◽  
Vol 23 (3) ◽  
pp. 236-243
Author(s):  
Hadhi Dharmaputra Juliyan ◽  
Bertilia Lina Kusrina
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Large Role ◽  
Corporate Bankruptcy ◽  
Mining Companies ◽  
Financial Distress Prediction ◽  
Distress Prediction ◽  
Score Model

This research aims to determine the level of the bankruptcy of the company and to see if the Altman ratio can predict the condition of corporate bankruptcy in mining companies on the Indonesia Stock Exchange because mining companies have a large role in the Indonesian economy. This study uses the Altman Z-Score model analysis to see how much the company's bankruptcy prediction and uses logistic regression to see how much the influence of the Altman ratio in predicting corporate bankruptcy. Keywords: financial distress, the Altman z–score, bankruptcy prediction

scholarly journals PENGARUH CURRENT RATIO, DEBT RATIO, NET PROFIT MARGIN DAN RETURN ON EQUITY TERHADAP FINANCIAL DISTRESS

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Dwi Fitrianingsih
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Total Sample ◽  
Profit Margin ◽  
Debt Ratio ◽  
Manufacturing Companies ◽  
Current Ratio ◽  
Return On Equity ◽  
Net Profit ◽  
Positive Effect

This study aims to find out "Financial Ratios to Predict the Condition of Financial Distress in Manufacturing Companies Listed on the Stock Exchange" with a total sample of 42 manufacturing companies listed on the Indonesia Stock Exchange. Data collection techniques used purposive sampling and the number of samples in this research is 42 data.From the results of the partial test (t test) that the Current Ratio (CR) variable has a positive effect on Financial Distress, Debt Ratio (DR) has a positive effect on Financial Distress, Net Profit Margin (NPM) has a positive effect on Financial Distress, Return On Equity (ROE) does not affect the Financial Distress. As well as simultaneous testing (test f) Current Ratio (CR), Debt Ratio (DR), Net Profit Margin (NPM), Return On Equity (ROE) simultaneously have a positive effect on Financial Distress.

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