scholarly journals PENGARUH LEVERAGE, FINANCIAL DISTRESS DAN LIQUIDITY SEBAGAI PENGAMBILAN KEPUTUSAN HEDGING (Studi Kasus pada Perusahaan yang Terdaftar pada Bursa Jakarta Islamic Index Periode 2011-2015)

IQTISHODUNA ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. 64-72
Author(s):  
Al Fatimia ◽  
Muhammad Sulhan
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Sampling Technique ◽  
Current Ratio ◽  
Risk Hedging ◽  
Financial Difficulties ◽  
Exchange Risk ◽  
Equity Ratio ◽  
A Company ◽  
Observation Period

Hedging is one alternative risk management to protect the assets of the company resulting from theforeign exchange risk. Hedging by using derivative instrumentis common ways that is used by the company.This study aimed to determine the effect of leverage, and liquidity of financial distress, both simultaneouslyand partially to the company’s decision to do hedging. The population in this study was a company in JakartaIslamic Index on the observation period of 2011-2015. The sampling technique used in this research waspurposive sampling method in order to obtain a sample of seven companies. The techniques in this studyused multiple regression analysis software of SPSS version 16. The results of this study that of the fourvariables used, there was one variable that affected the company to be used as a hedging decision making.Variable that affected the hedging activities was the current ratio, because if the value of the current ratio washigh then indicated that the liquid assets that was managed by the company was also high, so it needed toimplement a policy of hedging, quick ratio was getting the negative and significant, which meant that if thevalue of the variable quick ratio was low, then the company pushed for hedging, debt to equity ratio had nosignificant effect on hedging, this was because the company was using the rupiah currency to do debt,financial distress had no significant because the company was not experiencing the financial difficulties.

scholarly journals FAKTOR-FAKTOR FUNDAMENTAL YANG MEMPENGARUHI HARGA SAHAM PERUSAHAAN YANG TERDAFTAR DI JAKARTA ISLAMIC INDEX TAHUN 2010-2016

2020 ◽  
Vol 6 (8) ◽  
pp. 1620
Author(s):  
Hamidatul Husnah ◽  
Puji Sucia Sukmaningrum
Keyword(s):  
Quantitative Analysis ◽  
Significant Influence ◽  
Stock Price ◽  
Current Ratio ◽  
Purposive Sampling ◽  
Equity Ratio ◽  
A Company ◽  
Observation Period

This research aims to determine the effect of Current Ratio, Debt Equity Ratio and Earning Per Share on stock price of Companies in Jakarta Islamic Index partially or simultaneously. The population in this study is a company registed in Jakarta Islamic Index and the sample used in this study as many as 9 companies listed in Jakarta Islamic Index that meets the criteria of purposive sampling. The observation period of the study starts from 2010 to 2016. This best of research in used quantitative analysis with multiple linear regressionshow that Current Ratio, Debt Equity Ratio and Earning Per Sharesimultaneously and significantly affect the stock price of companies in Jakarta Islamic Index. And partially variable of current ratio insignificant influence to stock price, debt equity ratio is negative and significant influence, and earning per share have positif and significant influence to stock price of company in Jakarta Islamic Index periode 2010-2016.Keywords: Stock Price, Current Ratio, Debt Equity Ratio,Earning Per Share

PENGARUH RASIO KEUANGAN DALAM MEMPREDIKSI POTENSI KEBANGKRUTAN PADA PERUSAHAAN CUSTOMER GOODS YANG TERDAFTAR DI BURSA EFEK INDONESIA

2015 ◽  
pp. 70-82
Author(s):  
Lamria Sagala
Keyword(s):  
Capital Market ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Return On Assets ◽  
Current Ratio ◽  
Financial Distress Prediction ◽  
Distress Prediction ◽  
A Company

This study aims to identify and analyze the influence of Current Ratio, Debt To Assets Ratio, Return on Assets, and Earning Per Share partially or simultaneously to the prediction of financial distress on customer goods companies listed in Indonesia Stock Exchange.The population in this study is a company customer goods listed in Indonesia Stock Exchange in 2010-2012. Of the 36 listed companies, 32 companies selected samples using purposive sampling method. The data used in this research is secondary data, to gather the information needed from www.idx.co.id and Indonesian Capital Market Directory (ICMD). This study analyzed using logistic regression analysis. The conclusion that can be drawn from this study is that the Current Ratio, Debt To Assets Ratio, Return on Assets, and earning per share has an influence on the prediction of financial distress. While only partially Debt To Assets Ratio which has a significant influence on the prediction of financial distress while the three other independentvariables have no effect on financial distress prediction.

scholarly journals Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya

2020 ◽  
Vol 13 (3) ◽  
pp. 47
Author(s):  
Daniel Ogachi ◽  
Richard Ndege ◽  
Peter Gaturu ◽  
Zeman Zoltan
Keyword(s):  
Financial Distress ◽  
Listed Companies ◽  
Debt Ratio ◽  
Working Capital ◽  
Corporate Bankruptcy ◽  
Current Ratio ◽  
Asset Turnover ◽  
Inventory Turnover ◽  
Equity Ratio ◽  
A Company

Predicting bankruptcy of companies has been a hot subject of focus for many economists. The rationale for developing and predicting the financial distress of a company is to develop a predictive model used to forecast the financial condition of a company by combining several econometric variables of interest to the researcher. The study sought to introduce deep learning models for corporate bankruptcy forecasting using textual disclosures. The study constructed a comprehensive study model for predicting bankruptcy based on listed companies in Kenya. The study population included all 64 listed companies in the Nairobi Securities Exchange for ten years. Logistic analysis was used in building a model for predicting the financial distress of a company. The findings revealed that asset turnover, total asset, and working capital ratio had positive coefficients. On the other hand, inventory turnover, debt-equity ratio, debtors turnover, debt ratio, and current ratio had negative coefficients. The study concluded that inventory turnover, asset turnover, debt-equity ratio, debtors turnover, total asset, debt ratio, current ratio, and working capital ratio were the most significant ratios for predicting bankruptcy.

scholarly journals PENGARUH KINERJA KEUANGAN DAN MEKANISME CORPORATE GOVERNANCE TERHADAP FINANCIAL DISTRESS (Studi Empiris pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2011-2014)

2018 ◽  
Vol 1 (1) ◽  
pp. 46-53
Author(s):  
Anis Mafiroh ◽  
Triyono Triyono
Keyword(s):  
Financial Distress ◽  
Audit Committee ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Financial Statement ◽  
Manufacturing Companies ◽  
Leverage Ratio ◽  
Financial Difficulties ◽  
Profitability Ratios ◽  
A Company

Financial distress is the financial difficulties experienced by a company before the company become bankruptcy. The prediction of financial distress is necessary to anticipate a company into bankruptcy. While the company showed the signal will be bankruptcy, show the parties concerned such as managers, investors, and business owners will soon take a decision anticipated for bankcruptcy. Financial ratios in this study using indicators such as leverage ratio, liquidity ratios, activity ratios, profitability ratios, independent board and audit committee competence on a predicted occurrence of Financial distress.The population in this study was all manufacturing companies listed in Indonesia stock exchange and continuosly published financial statement in the periode 2011-2014. The sample is determined by purposive sampling technique and used of 79 companies as samples. This analysis used logistic regression analysis. The result of this research showed that the leverage ratio and the ratio of activity affect the prediction of the occurrence of financial distress, while liquidity ratios, profitability ratios, independent board, and the competence of the audit committee do not affect the prediction of financial distress.

scholarly journals Financial Distress Prediction in Infrastructure, Utilities, and Transportation Sector Companies 2015-2020

2021 ◽  
Vol 25 (3) ◽  
pp. 656-670
Author(s):  
Mashudi Mashudi ◽  
Risdiana Himmati ◽  
Id Fitria Rahayu Ardillah ◽  
Citra Sarasmitha
Keyword(s):  
Financial Distress ◽  
Secondary Data ◽  
Sampling Technique ◽  
Current Ratio ◽  
Return On Equity ◽  
Book Value ◽  
Transportation Sector ◽  
Equity Ratio ◽  
Total Turnover ◽  
Equity Price

This research is based on financial distress or financial distress, which negatively impacts the company, marked by its inability to fulfill its obligations at maturity. This phenomenon can be an early warning related to further problems, and financial distress can be overcome by predicting as early as possible. This prediction is essential for management and company owners to anticipate potential bankruptcy. The formulations in this study include whether inflation affects predicting financial distress in companies in the Infrastructure, Utilities, and Transportation sectors listed on the IDX for the 2015-2020 period. And Whether the financial ratios (Current Ratio, Debt To Equity Ratio, Total Asset Turn Over, Return on Equity, Price Book Value) affects predicting financial distress in Infrastructure, Utilities, and Transportation sector companies listed on the IDX the 2015-2020 period. This study uses a quantitative approach and the type of associative research, and the source data is secondary data with a sample of 10 companies. The sampling technique used purposive sampling. Data processing in this study uses E-Views 9 with Panel Data Regression analysis techniques. This study can conclude that the variables of inflation, current ratio, price-book value, and total turnover significantly affect financial distress in the Infrastructure sector companies: utilities and Transportation. Meanwhile, the debt to equity ratio and return on equity variables did not substantially affect financial distress in the Infrastructure, Utilities, and Transportation sector companies in 2015-2020.DOI: 10.26905/jkdp.v25i3.5858

Pengaruh Kepemilikan Manajerial, Ukuran Perusahaan dan Leverage Terhadap Financial Distress

2021 ◽  
Vol 5 (1) ◽  
pp. 71-84
Author(s):  
Gina Septiana ◽  
Pipi Agus Puspa Sari
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Managerial Ownership ◽  
Financial Reports ◽  
Panel Data Regression ◽  
Data Regression ◽  
A Company ◽  
Effect Method

Financial distress is a condition in which a company is facing a period of financial difficulty and conditions that occur before the company actually goes bankrupt. This study aims to obtain empirical evidence whether there is an effect of managerial ownership, company size and leverage on financial distress in companies listed on the Indonesia Stock Exchange for the period 2015 - 2019. The sampling technique uses purposive sampling method and is based on criteria. samples obtained from 9 companies. Data from financial reports are obtained from the IDX official website. The analysis method used is panel data regression analysis with the help of the E-Views 8 application. After doing the chow-test, it was decided to choose the fixed effect method. Financial distress on publicly listed companies on the IDX during the study period was only positively and significantly influenced by managerial ownership, firm size had no significant effect and leverage has a negative and significant effect.

scholarly journals Analisis Pengaruh Struktur Modal, dan Likuiditas terhadap Profitabilitas pada Perusahaan Sektor Otomotif di indonesia

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Richky Prabowo ◽  
Aftoni Sutanto
Keyword(s):  
Capital Structure ◽  
Participant Observation ◽  
Sampling Technique ◽  
Automotive Sector ◽  
Return On Assets ◽  
Current Ratio ◽  
Automotive Company ◽  
Analysis Technique ◽  
Equity Ratio ◽  
Observation Period

This study is aims to determine the effect of capital structure and liquidity on profitability in automotive sector companies in Indonesia.This research is a non-participant observation research using quantitative data from secondary party as its instrument. The population in this research is automotive sector company in Indonesia.The capital structure variable in this study is measured by Debt to Equity Ratio (DER), the liquidity variable is measured by Current Ratio (CR), and the profitability variable is measured by Return on Assets (ROA).The sampling technique on this research is using Purposive Sampling, that is a sample determination technique using certain consideration. The sample used in this research is 11 companies. Observation period of this research is from 2012 to 2016.The classical assumption test of the instrument is using the test of normality, multicollinearity, autocorrelation, and heteroscedasticity. The analysis technique used in this research is multiple regression analysis technique.The results showed that the variable of DER (X1) has a significant effect on ROA (Y) in automotive companies in Indonesia. CR (X2) variable has a significant effect to ROA (Y) in automotive company in Indonesia. Then DER (X1) and CR (X2) this two variable both together  have a significant effect on dependent variable of ROA (Y) on automotive company in Indonesia.

scholarly journals The Influence of Liquidity, Leverage, Company Size and Profitability on Financial Distress

2021 ◽  
pp. 11-17
Author(s):  
Andi Runis ◽  
Dedy Samsul Arifin ◽  
Arifuddin Masud ◽  
Ummy Kalsum
Keyword(s):  
Financial Distress ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Annual Reports ◽  
Company Size ◽  
Return On Assets ◽  
Current Ratio ◽  
Financial Reports ◽  
Equity Ratio

This study aims to empirically examine the factors that influence Financial Distress in Property and Real Estate Companies. This study was tested with four independent variables, namely Liquidity (Current Ratio), Leverage (Debt Equity Ratio), Firm Size (ln of Total Assets), and Profitability (Return on Assets) using purposive sampling technique the authors chose seventeen companies as samples. This study uses panel data analysis obtained from financial reports and Annual Reports for 5 years. This study uses secondary data with the help of the Eviews 9 application. The results found that the Leverage Variable (Debt Equity Ratio) has a positive and significant influence on Financial Distress while Liquidity (Current Ratio), Company Size (ln of Total Assets), and Profitability Variables (Return). on Assets) has a negative and significant effect on Financial Distress.

scholarly journals MODEL ALTMAN Z-SCORE UNTUK MEMPREDIKSI FINANCIAL DISTRESS : STUDI EMPIRIS PADA INDUSTRI MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

JURNAL PUNDI ◽  
2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Lidya Martha ◽  
Sri Mardhatillah ◽  
Zusmawati Zus
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Purposive Sampling ◽  
Financial Difficulties ◽  
Grey Area ◽  
Score Model ◽  
A Company

Financial distress is the financial difficulties experience by a company before the company become bankruptcy (Mafiroh, 2016). The purpose of this study was to determine which firms would be predicted financial distress. The population in this research is manufacturing companies listed in Indonesia Stock Exchange in 2015. In this study, the population is used 365 companies. The process of collecting samples are using purposive sampling method. The model used to analyze the rate of financial distress is Altman Z-Score Model. The results showed that of the 15 companies that were sampled 5 (five) of them were healthy (>2,99), 2 (two) of them were financial distress (<1,81) and 8 (eight) indicated in grey area (1,81 – 2,99).  

scholarly journals The Effect of Liquidity, Leverage and Profitability on Financial Distress

2020 ◽  
Vol 2 (2) ◽  
pp. 127-133
Author(s):  
Volta Diyanto
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Financial Distress ◽  
Sampling Method ◽  
Manufacturing Companies ◽  
Return On Assets ◽  
Current Ratio ◽  
Purposive Sampling ◽  
Equity Ratio

This study aims to analyze the effect of liquidity, leverage, and profitability on financial distress in manufacturing companies in Riau province. 129 manufacturing companies experiencing financial distress in Riau province were selected as samples using purposive sampling method. The data were analyzed using multiple linear regression. The results show that the current ratio affects financial distress. The debt to equity ratio affects financial distress. Return on assets affects financial distress.

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