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

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

Author(s):  
Ananda Rama Dhani ◽  
Nolla Puspita Dewi

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.


2021 ◽  
Vol 7 (2) ◽  
pp. 175-186
Author(s):  
Rochman Marota ◽  
Vinna Oktaviani ◽  
Amelia Rahmi

ABSTRAKTujuan dari penelitian ini adalah untuk menganalisis pengaruh laba bersih, arus kas operasi, investment opportunity set, dan firm size terhadap dividen kas. Penelitian ini dilakukan pada perusahaan sub perdagangan eceran yang terdaftar di Bursa Efek Indonesia periode 2015–2019. Sampel terdiri dari lima perusahaan yang dipilih dengan menggunakan metode purposive sampling. Penelitian ini menggunakan uji regresi linear berganda untuk menguji hipotesis. Hasil pengujian menunjukkan bahwa laba bersih berpengaruh positif terhadap dividen kas, sedangkan arus kas operasi, investment opportunity set, dan firm size tidak berpengaruh. Hal ini dapat menjadi perhatian bagi perusahaan untuk terus meningkatkan kinerja perusahaan dalam menghasilkan laba bersih. Dengan laba yang tinggi, para investor akan lebih tertarik untuk menginvestasikan dananya. ABSTRACTThe purpose of this study is to analyze the effect of net income, operating cash flow, investment opportunity set, and firm size on cash dividends. This research was conducted on sub-retail trading companies listed on the Indonesia Stock Exchange for the 2015–2019 period. The sample consists of five companies, selected using the purposive sampling method. It uses multiple linear regression to test the hypotheses. Results show that net income affects positively cash dividends. While cash flow, investment opportunity set, and firm size does not affect cash dividends. This can be a concern for the company to continue to improve the company's performance in generating net income. With high profits, investors will be more interested in investing their funds.


Author(s):  
Mukhtaruddin . ◽  
Yulia Saftiana ◽  
Tiara .

Public Accounting Firm (PAF) switching in companies follows the regulation number 17/PMK.01/2008 article 3 of the Minister of Finance Republik Indonesia, which is in a period of 6 years or voluntarily. The purpose of this research is to analyze the effect of the size of PAF, financial distress (FD), firm size of client (FSC), client management switching (CMS), audit comitee switching (ACS) to PAF switching voluntarily on manufacturing companies listed in Indonesia Stock Exchange (IDX) in 2010-2014. The population in this research are manufacturing companies listed in IDX in 2010-2014. The sample in this study were taken by purposive sampling method and 21 companies are selected as the sample by criteria. These variables are then tested using logistic regression at a significance level of 5 percent. The result showed that the size of PAF, FD, FSC, CMS does not affect PAF Switching and ACS has affect PAF Switching. The limitations of this research, the variables used only five independent variables, the research period only five years, and sample selection is only based on a purposive sampling.


2020 ◽  
Vol 23 (3) ◽  
pp. 449
Author(s):  
Nurainun Bangun

The purpose of this study was to determine the effect of bid ask spread, profitability, and free cash flow on earnings management. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange in 2016-2018. The sampling method used was purposive sampling with predetermined criteria. Earning management is determined by the accruals method. The results of this study stated that the bid ask spread did not have a significant effect on earnings management, while profitability and free cash flow had a significant effect on earnings management.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Diaz Lunardi Santoso

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


2021 ◽  
Vol 2 (3) ◽  
pp. 42-50
Author(s):  
Rezika Farah Sabila ◽  
Einde Evana ◽  
Ratna Septiyanti

This research aims to provide empirical evidence in the effect of operating cash flow, leverage, and firm size on earnings persistence. The data used on this research is historical secondary data. The data used in this research were taken from website www.idx.co.id. A population in this research were companies listed on the Indonesia Stock Exchange (IDX) sector food & beverage for the period 2015-2019. Sampling method used is purposive sampling method with a sample of 33 companies. The outcome of this research indicate that operating cash flow & firm size have a positive effect on earning persistence. Meanwhile, leverage  does not affect earning persistence.


2017 ◽  
Vol 24 (2) ◽  
pp. 131-143
Author(s):  
Achmad Tjahjono ◽  
Intan Novitasari

This study to examine the effect of liquidity to financial distress manufacturing company as measured by current assets, effect of profitability to financial distress manufacturing company as measured by return on assets, the effect of leverage to financial distress manufacturing company as measured by debt ratio, the effect of operating cash flow to financial distress manufacturing company as measured by the operating cash flow divided with current liability. Research population are all manufacturing company that listed in the Indonesia Stock Exchange in 2010-2014. The sampling method in this research is purposive sampling. Samples are 47 companies with as many as 235. The number of observation data analysis method used is logistic regression. The results showed that no effect on the liquidity of financial distress with significant 0.111>0.05. Effect on the profitability of financial distress with significant 0.000<0.05. Leverage does not affect the financial distress with significant 0.167>0.05. Operating cash flow does not affect the financial distress with significant 0.875>0.05. aximum likelihood on effect simultaneous between liquidity, profitability, leverage and operating cashflow to financial distress with significant 0.000<0.05. Koefisient determinasi examination shows value 0.542 that mean 54.2% dependent variable can be explained from independent variable and 45.8% influenced by other variable outside the model.


2020 ◽  
Vol 2 (1) ◽  
pp. 2513-2525
Author(s):  
Retno Istiani ◽  
Nurzi Sebrina ◽  
Halmawati Halmawati

This study aims to provide empirical evidence regarding the effect of financial distress and leverage on the flexibility in cash flow classification in nonfinancial companies listed on the Indonesia Stock Exchange in 2017-2018. The flexibility in cash flow classification is where managers are allowed to classify interest paid, interest received, and dividend received into operating, investing, or financing cash flow activities. By using purposive sampling method, obtained research samples of 395 companies. In this study, the flexibility of cash flow classification measured by dummy method of utilizing the cash flow classification flexibility by manager. this reseach create a poxy for financial distress based on Altman's Z-score (Altmant and Hotchkiss, 2006), while leverage measured by debt to total assets ratio. Analysis technique used logistic regression analysis. The results showed that financial distress has no effect on flexibility in cash flow classification. Leverage has a positive and significant effect on flexibility in cash flow classification, which is firm with  high leverage  tend to take advantage cash flow classification flexibility to infale operating cash flow


2021 ◽  
Vol 21 (2) ◽  
pp. 734
Author(s):  
Endriana Winda Wulandari ◽  
Jaeni Jaeni

This study aims to analyze the influence of operating cash flow, leverage, liquidity, operating capacity, profitability and sales growth on the financial distress of Property and Real Estate companies on the Indonesia Stock Exchange (IDX) 2015-2019. This research is a type of quantitative research using secondary data. The sample in this study obtained as many as 26 companies, in the case of the method used is purposive sampling which is a sampling method by determining the criteria that have been determined. The data analysis method used multiple linear regression. The results of the F test show that operating cash flow, leverage, liquidity, operating capacity, profitability, and sales growth variables simultaneously affect financial distress. However, in testing the hypothesis (t-test) the operating cash flow, operating capacity, profitability and sales growth variables have no effect on financial distress, while the leverage and liquidity variables have a significant and negative effect on financial distress


2018 ◽  
Vol 8 (1) ◽  
pp. 79
Author(s):  
Edi Edi ◽  
May Tania

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.


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