scholarly journals Pengaruh Likuiditas, Profitabilitas, Financial Leverage, dan Arus Kas Operasi Dalam Memprediksi Kondisi Financial Distress

2021 ◽  
Vol 16 (2) ◽  
pp. 68-86
Author(s):  
Dita Maretha Rissi ◽  
Lisa Amelia Herman

Financial distress occurs before the bankruptcy of a company. Thus the financial distress model needs to be developed, because by knowing the company's financial distress from an early age, it is hoped that actions can be taken to anticipate conditions that lead to bankruptcy. Financial distress can be measured through financial statements by analyzing financial statements. This study aims to determine and analyze the effect of liquidity, profitability, financial leverage, and operating cash flow in predicting financial distress conditions for manufacturing companies listed on the Indonesia Stock Exchange in 2016-2020. Data from the company's official website and completed from the IDX and ICMD websites. There are independent variables, namely liquidity, profitability, financial leverage, and operating cash flow, while the dependent variable in this study is financial distress. The data analysis method used in this research is logistic regression analysis method which aims to determine the role of each independent variable in influencing the dependent variable. The results of this study indicate that liquidity has no effect on financial distress, meaning that if the company is able to pay its debts well, then it is likely that the company will not experience financial distress. Profitability has no effect on financial distress, meaning that the size of the company's profit value has no effect on the company so that it avoids financial distress conditions. Financial leverage has a positive effect on financial distress, meaning that if the company has higher debt and is not followed by high sales results, it can allow failure to pay debts which causes the company to be in financial distress. Cash flow has no effect on financial distress, meaning that if the company has a good operating cash flow value, it will not experience financial distress.

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


2018 ◽  
Vol 5 (1) ◽  
pp. 34-49
Author(s):  
Dean Subhan Saleh

This research aims to determine the influences of operating capacity, operating cash flow and variable cost to the possibility of companies experiencing financial distress. Currently, we can see the textile and garment industries, were all having profit descreased year by year. If its left constantly and continously, then the company will be at risk of facing financial distress condition. Financial distress is a condition that describes the downturn of corporate performance, so that they are having financial trouble full filling their short term liabilities. Population of this research are manufactured companies on textile and garment’s sectors listed on the Indonesian’s Stock Exchange 2009-2016 periods. By sampling defined with purposive sampling’s methods, there are 10 companies, selected as the research’s samples. And this research using regretions logistics analysis method on SPSS version 23. This research finally conclude that operating capacity significantly by positive having affects to the possibility of companies to suffer financial distress. Operating cash flow significantly by negative having affect to the possibility of companies to suffer financial distress and variable cost significantly by positive having affect to the possibility of companies to suffer financial distress.   Keywords : operating capacity, operating cash flow, variable cost, financial distress.  


2018 ◽  
Vol 9 (2) ◽  
pp. 140-148
Author(s):  
Irma Setyawati ◽  
Rizki Amelia

We believe company financial statements can be used as a tool to analyze and also as an indicator to know the financial performance. The financial statements contain information for various financial ratios, which are an important tool for assessing the company’s financial performance in the future. The purpose of this research is to know the role of the current ratio, operating cash flow, and the inflation rate in predicting financial distress of consumer goods industry sector listed in the Indonesia Stock Exchange period 2011–2015. Financial distress prediction models need to be developed to assist managers in overseeing company performance and help identify important trends. To analyze the current ratio, operating cash flow, and the inflation rate has a probability of occurring financial distress for the company, used logistic regression. From this study resulted in the finding that the probability of a company exposed by financial distress is caused by operating cash flow, while the current ratio and the inflation rate have a smaller probability of the company of consumer goods to be exposed by financial distress.


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.


Author(s):  
Aprih . Santoso

Abstract : Companies need funds in order to carry out operations such as the financing of production activities, pay employees, pay other expenses related to the operation of the company. One way to obtain these funds is to attract investors to invest in companies in the form of stock, but in making this investment is certainly not easy for investors, because investors need consideration beforehand to find out how the company's performance. The purpose of this study was to examine and analyze the effect of operating cash flow to stock return through stock price at companies listed on the Stock Exchange Year 2012-2015. The data used in this study dala are secondary data from the financial statements of companies listed on the Indonesia Stock Exchange period 2012 - 2015. The data are in the form of financial statements can be obtained from the Indonesian Capital Market Directory (ICMD), the IDX website www.idx.co. id as well as from various other sources to support this research. The population in this research is manufacturing companies listed on the Stock Exchange the period 2012 - 2015. The samples taken by the sampling technique used purposive sampling.From the test results and analysis of the data it can be concluded that operating cash flow directly and indirectly has no effect on stock returns through stock prices showed no significant results. Keywords :  Operating Cash Flow, Stock Price, Stocks Return


Author(s):  
Rusdiyanto Rusdiyanto ◽  
Dian Agustia ◽  
Soegeng Soetedjo ◽  
Dina Fitrisia Septiarini ◽  
Susetyorini Susetyorini ◽  
...  

In this study, the author proposes to evaluate the effect of sales growth, Receivable Turnover and operating cash flow on the liquidity of PT. Unilever Indonesia Plc. The research method used is descriptive method with a quantitative approach. In this statement, the population used in this study is the financial statement data from PT. Unilever Indonesia Plc. from 2010 to 2018, the technique of determining the sampling uses Purposive Sampling. This research data uses secondary data from PT. Unilever Indonesia Plc financial statements from 2010 to 2018. All data sources were obtained from the website of the Indonesia Stock Exchange at https://www.idx.co.id, the company's website and Google search. Our analysis reveals that sales growth and accounts receivable turnover from PT. Unilever Indonesia Plc. has no influence on the liquidity of PT. Unilever Indonesia Plc, while operating cash flow has an influence on the Liquidity of PT Unilever Indonesia Plc. This means the ups and downs of the value of sales and accounts receivable turnover of a company has no influence on the liquidity of PT. Unilever Indonesia Plc, while operating cash flow has increased or decreased has an influence on the liquidity of PT Unilever Indonesia Plc. The value of sales growth, accounts receivable turnover and operating cash flow can explain the liquidity of PT Unilever Indonesia Plc. by 78%, while 22% is explained by other factors which are not included in this study.


2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Susanti Tudje ◽  
David Saerang ◽  
Sintje Rondonuwu

The field of finance is a very important in a company, both in small and large-scale companies,or profitable motive and non-profit. The more advaced a company then the competition among companies getting tighter, thus making the company’s operation stabilized is  the most important to improve the ability to complete                                                                                                                                                                                                                                                                                                                                               and also to survive. The purpose of this research is to know and assess financial perfomances based on cash flow statement analysis on Consumer Goods Industry companies in BEI during 2012-2015.This type of research is a descriptive study using quatitative method and using the cash flow ratio analysis method, the ratio used in this study is the operating cash flow ratio, the ratio of cash flow to interest, the ratio of capital expenditure, the ratio of total debt, and the ratio cash flow to net income. From the result obtained by using ratio analysis method is less than 1,which can be conculeded that the financial performances of  Consumer Goods Industry lapse year 2012-2015 has a poor financial perfomances because the calculation result with the ratio of total debt 0,2. 0,12.0,07. and 0,13 which menas the company has not been able to pay all liabilities from cash flow derived from the normal activities of the company.Keywords : Cash Flow Statement, Operating Cash Flow, Cash Flow Ratios, Financial Perfomances


2020 ◽  
Vol 2 (2) ◽  
pp. 113-132
Author(s):  
Ruqayya Ibraheem ◽  
Ramsha Saleem ◽  
Altaf Hussain

Recently, financial distress has become a significant issue, especially for the banking sector, that is considered as the backbone of the economy. Thus, the present study aim is to examine the effects of operating cash flow, profitability, financial leverage, trading activities and liquidity on financial distress of the banking industry of ASEAN countries. The researchers have extracted the data from the central banks of ASEAN countries for the year 2009 to 2018. The random effect model along with generalized method of moment (GMM) approaches have been used to check the predictors such as operating cash flow, profitability, financial leverage, trading activities and liquidity on financial distress of banking industry of ASEAN countries. The results revealed that all the predictors such as operating cash flow, profitability, financial leverage, trading activities and liquidity have a positive association with the financial distress of the banking industry of ASEAN countries. These outcomes provide the guidelines to the regulation-making authorities that they should enhance their focus on the issue of financial distress that could improve the financial position of the banks along with the country.


Author(s):  
Yuniningsih - Yuniningsih ◽  
Nisrina Atika Hasna ◽  
Muh Barid Nizarudin Wajdi

The Abstract The research aims to determine the role of debt variable, corporate size and growth to the high financial performance of a company with the basis of signaling hypothesis.  Analysis method used is multiple linear regression. The unit of analysis is automotive companies listed on Indonesia Stock Exchange period of 2012-2016. The results of the classical assumption test indicate that this research is free of multicollinear, heteroscedasticity and autocorrelation. The results indicate that debt results in negative direction and not significant, corporate size has a negative direction and not significant and company growth has a negative direction and significant. The three results are not in accordance with the hypothesis proposed in the study.  The present research has limitation that variables  used can only explain 14.4% and the rest are explained by other variables beyond this study.


2019 ◽  
Vol 14 (2) ◽  
pp. 80-94
Author(s):  
Crystha Armereo ◽  
Pipit Fitri Rahayu

The objective of this research is to identify the influence of return on equity, earnings per share, operating cash flow, size, debt to equity ratio, current ratio, and growth to dividend payout. Data collected from manufacturing companies that listed on Indonesian Stock Exchange for three years period 2014 to 2016. Sample selected by using purposive sampling method. There are 38 companies meet the criteria and used as sample. The statistical method used in this research is multiple regression. Result of this research showed that return on equity, earnings per share, and growth have influence dividend payout but operating cash flow, size, debt to equity ratio, and current ratio have no influence towards dividend policy.


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