scholarly journals MODEL PREDIKSI KESULITAN KEUANGAN DENGAN RASIO KEUANGAN (Studi kasus Pada Perusahaan Manufaktur di Indonesia yang telah terdaftar selama 5 Tahun di BEI 2008-2012)

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Diaz Lunardi Santoso
Keyword(s):  
Logistic Regression ◽  
Financial Distress ◽  
Manufacturing Industry ◽  
Sampling Method ◽  
Stock Exchange ◽  
Market Value ◽  
Financial Ratios ◽  
Predicting Model ◽  
Book Value ◽  
Purposive Sampling

This research aimed to figure financial distress model and to determined wihich financial ratios can predict financial distress for 1 year; 2 years; and 3 years before. This research was using samples of manufacturing industry thst listed on The Indonesian Stock Exchange in 2008-2012. Based on purposive sampling method, the research samples total are 160 manufactured companies. To figure the model, this research used logistic regression. This research indicated that financial ratios likes leverage, profitability, activity, RE to Total Assets, Market value of Equity to Book Value of Debt can predict financial distress 1 year; 2 years; and 3 years before. These financial ratios can predict above 64% of financial distress for 1 year; 2 years, and 3 years before, while around 36% were influeced by others factors. The predicting model for 1 year have 96,3% clasification accuracy ,while 2 years model have 96,3% clasification accuracy and 3 years model  have 92,5% clasification accuracy

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 Rasio Keuangan untuk Memprediksi Kondisi Financial Distress (Studi Empiris pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2014-2015)

2018 ◽  
Vol 9 (2) ◽  
Author(s):  
Verani Carolina ◽  
Elyzabet Indrawati Marpaung ◽  
Derry Pratama
Keyword(s):  
Logistic Regression ◽  
Cash Flow ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Operating Cash Flow

AbstractThis research aims to examine wether liquidity, profitability, leverage, and operating cash flow can be used as financial distress predictor. Manufacturing companies which were listed in the Indonesia Stock Exchange during the period 2014-2015, were used as samples. This research used purposive sampling method and 96 companies can be used as samples according to the criteria. Data was analyzed using logistic regression. The result showed that only profitability can be used as financial distress predictor, while liquidity, leverage, and operating cash flow cannot.Keywords: Financial Distress, Liquidity, Leverage, Operating Cash Flow, and Profitability

scholarly journals ANALISIS MODEL PREDIKSI KEBANGKRUTAN PADA PERUSAHAAN PERBANKAN YANG GO-PUBLIC DI BURSA EFEK INDONESIA (PT. BEI)

2009 ◽  
Vol 7 (1) ◽  
pp. 63
Author(s):  
Febry Sanur Saputra
Keyword(s):  
Prediction Model ◽  
Sampling Method ◽  
Stock Exchange ◽  
Market Value ◽  
Financial Statements ◽  
Equity Market ◽  
Financial Ratios ◽  
Time Line ◽  
Purposive Sampling ◽  
Potential Condition

Purpose of this research is applying of prediction model of company bankruptcy of banking which go-public in Indonesia based on the company financial statements. Model who applied is Model Z-Altman applied to predict company's finance performance. This model applies combination of standard ratios, which are circulating capital ratio, profit ratio arrested, profit ratio before interest and tax, equity market value ratio and sale ratio. In this research applied also financial ratios CAMEL as comparator, with level of health that has been specified Bank Indonesia. Sampling method in this research is method purposive sampling, consisted of eight banking company in Indonesia Stock Exchange/Bursa Efek Indonesia (BEI) and included in catalog 10 banks with the biggest leg asset until end of time line 2008. Result of research indicates that from model Altman and CAMEL leaves for back. Model Altman predicts that all sample bank stays at potential condition gone broke, while CAMEL predicts sample bank to stay at healthy condition.

scholarly journals KETEPATAN MODEL ALTMAN, SPRINGATE, ZMIJEWSKI, DAN GROVER DALAM MEMPREDIKSI FINANCIAL DISTRESS

2018 ◽  
Vol 8 (1) ◽  
pp. 79
Author(s):  
Edi Edi ◽  
May Tania
Keyword(s):  
Logistic Regression ◽  
Financial Performance ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Financial Reports ◽  
Purposive Sampling

This study aims to identify and analyze the accuracy models of financial distress between the model results of Altman, Springate, Zmijewski, and Grover. The model used by investors, creditors and the company itself who will invest in the company and evaluate the financial performance. Samples from this study are 1.321 firm-year, collected from Indonesia Stock Exchange for the period 2012-2016 and were selected using purposive sampling method. The data used in this study are financial reports of each company. The data obtained were tested with logistic regression. This study shows that the model of Altman, Springate, Zmijewski, and Grover has a significant impact and can be used for predicting the condition of financial distress. However, the Springate model is the most appropriate model for predicting the condition of financial distress because it has the highest level of coefficient determination compared to other models.

Pengaruh Perubahan Laba, Arus Kas Operasi, DER dan DAR Terhadap Financial Distress pada Perusahaan Sub Sektor Semen, Keramik Porselin dan Kaca yang Terdaftar di BEI Tahun 2015 – 2019

2021 ◽  
Vol 11 (1) ◽  
pp. 1-14
Author(s):  
Ananda Rama Dhani ◽  
Nolla Puspita Dewi
Keyword(s):  
Cash Flow ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Sample Selection ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Equity Ratio

This study aims to (1) determine the effect of Profit Changes on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (2) determine the effect of Operational Cash Flow on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (3) determine the effect of Debt To Equity Ratio (DER) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesian Stock Exchange (4) determine the effect of Debt To Asset Ratio (DAR) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (5) determine the effect of Profit Changes, Operational Cash Flow, Debt T Equity Ratio (DER), Debt To Asset Ratio (DAR) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange. The period used in this study is the period 2015-2019.The population in this study were Manufacturing companies in the sub-sector of cement, porcelain and glass which are listed on the Indonesia Stock Exchange. The sample selection used purposive sampling method.

scholarly journals Corporate Governance to Prevent Financial Distress Evidence from Corporate Governance Perceptions Index of Indonesian Companies

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Teti Rahmawati ◽  
Yana Hendriyana
Keyword(s):  
Corporate Governance ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Company Size ◽  
Purposive Sampling ◽  
Good Corporate Governance ◽  
Unobserved Variables

This study aims to determine the influence of Good Corporate Governance (GCG), Company Size, Liquidity, and Rentability on Financial Distress of companies listed on Corporate Governance Perception Index (CGPI) partially and simultaneously. �The population of this research is companies listed on the Indonesian Stock Exchange (BEI) and Corporate Governance Perception ranks starting from 2013 to 2016. Based on the criteria above, 59 companies are selected. The sampling of this research is taken by using purposive sampling method from the population with a target of several considerations. The result shows that Good Corporate Governance does not significantly influence Financial Distress, Company Size negatively affects Financial Distress, Liquidity positively affects Financial Distress, and Rentability positively affects Financial Distress.� Good Corporate Governance, Company Size, Liquidity, and Rentability partially influence Financial Distress with coefficient determination is 92,25% while 2,75% is explained by other unobserved variables in outside the model.

scholarly journals Pengaruh Rasio Keuangan Terhadap Tindak Kecurangan Pelaporan Keuangan

MAKSIMUM ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 128
Author(s):  
Ika Listyawati
Keyword(s):  
Logistic Regression ◽  
Financial Reporting ◽  
Quantitative Methods ◽  
Sampling Method ◽  
Secondary Data ◽  
Financial Ratios ◽  
Financial Leverage ◽  
Statistical Tools ◽  
Purposive Sampling ◽  
Independent Variable

This study considers the effect of financial ratios on fraud in financial reporting.While the financial ratios issued are financial leverage, liquidity, profitability, andcapital turnover. Research has been conducted using quantitative methods withsecondary data. Secondary data comes from a list of cases in the FinancialReporting. This research uses purposive sampling method. The total sampleobtained was 32 companies. This company classification consists of 32 companiesthat do financial reporting and 32 companies that do not commit financial reportingby collecting which companies produce the same industry and year of observation.This study uses logistic regression statistical tools while the dependent variable isa dummy (non-metric) variable, while the independent variable is a mixture ofmetric and non-metric variables. The results show that financial leverage, liquidityand capital turnover affect financial reporting fraud, while profitability has noeffect.Keywoard : fraud in financial reporting, financial leverage, liquidity,profitability, and capital turnover.

scholarly journals The effect of intellectual capital on financial performance and market value of manufacturing companies listed in the Indonesia Stock Exchange 2010 - 2012

2015 ◽  
Vol 5 (1) ◽  
pp. 45
Author(s):  
Lusia Amaluddin Andriani ◽  
Erida Herlina
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Sampling Method ◽  
Stock Exchange ◽  
Value Added ◽  
Market Value ◽  
Partial Least Square ◽  
Least Square ◽  
Manufacturing Companies ◽  
Purposive Sampling

The purpose of this study is to examine the effect of intellectual capital on financial performance and market value of the manufacturing companies. The sample consists of manufacturing companies, which are consistently registered, in the Indonesia Stock Exchange during the period of 2010-2012. Intellectual capital was calculated using value added intellectual coefficient (VAICTM). The main components of VAICTM are physical capital (VACA), human capital (VAHU) and structural capital (STVA). Financial performance is measured using Return on Asset (ROA), Return on Equity (ROE) and Earning per Shares (EPS). Market value is measured using Price Book to Value (PBV) and Price Earnings Ratio (PER). The sampling in this study is using purposive sampling method. Based on the purposive sampling method, it was obtained 71 manufacturing companies listed in the Indonesia Stock Exchange during the period of 2010-2012. The data analysis was done by using Partial Least Square (PLS). The results show that: (1) intellectual capital has an effect on the financial performance, (2) intellectual capital has no effect on the market value, (3) financial performance is able to mediate the relationship between intellectual capital and market value.

scholarly journals ANALISIS PENGARUH CAPM BETA, FIRM SIZE, BOOK TO MARKET RATIO, DAN MOMENTUM TERHADAP RETURN SAHAM

2019 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Alex Tumpal Hutajulu ◽  
Evita Puspitasari
Keyword(s):  
Firm Size ◽  
Stock Return ◽  
Stock Exchange ◽  
Market Value ◽  
Total Asset ◽  
Predictive Capability ◽  
Book Value ◽  
Purposive Sampling ◽  
Book To Market Ratio ◽  
Capm Beta

This research is performed to examine influence of capm beta, firm size, book to market ratio, and momentum on stock return in companies that listed on the Indonesia Stock Exchange. The population in this research was manufacture companies that listed on the Indonesia Stock Exchange during 2012-2014 with purposive sampling. Variables used in this research are capital gain (return), natural logarithma total asset (firm size), the ratio of book value to market value (book to market ratio), and return t-12 (momentum). The results shows that beta, firm size, book to market ratio and momentum simultaneously have a significant impact toward stock return. The conclusion based on partial test are (1) book to market ratio and momentum have a positive significance influence toward stock return (2) beta has negative insignificance influence toward stock return and firm size has positive insignificance influence toward stock return. Predictive capability of independent variabel in this research to stock return is 34,09% while other 65,91% was influenced by other factors.

scholarly journals Pengaruh Rasio Keuangan Terhadap Financial Distress Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Periode 2009-2013

2018 ◽  
Vol 21 (1) ◽  
pp. 43
Author(s):  
Steven Sean, Viriany
Keyword(s):  
Logistic Regression ◽  
Data Analysis ◽  
Financial Distress ◽  
Sampling Method ◽  
Financial Ratios ◽  
Manufacturing Companies ◽  
Analysis Techniques ◽  
Independent Variables ◽  
One Year ◽  
Manufacture Company

The purpose of this study is to determine the financial ratios partial effect on financial distress in manufacturing companies prior to the period of financial distress (t-n). Financial distress is defined as a late stage of corporate decline that precedes more cataclysmic events such as bankruptcy or liquidation.  Analysis of  financial ratios  is performed to  determine  the ratio that affect the probability of  financial distress. The method used is the  purposive  sampling  method.  Data analysis techniques logistic regression.  Hypothesis  testing  is  done  in  three  periods,  that  is  the period of  one  year  before the  financial distress  (t-1),  a  two-year period  before  the  financial  distress  (t-2) and a  three-year period  before the financial distress (t-3). Results indicate that  the independent variables  have a partial effect on manufacture company. The period  t-1, ratio TL/TA and  NI/TA  affect  financial  distress.  The  period  t-2,  ratio  NI/EQ affect financial  distress.  The period  t-3, ratio TL/TA and NI/TA affect financial distress.

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