scholarly journals KINERJA KEUANGAN DALAM MEMPREDIKSI FINANCIAL DISTRESS

2018 ◽  
Vol 11 (2) ◽  
pp. 42-48
Author(s):  
Nurhidayah Nurhidayah ◽  
Fitriyatur Rizqiyah

This study aims to determine the prediction of financial distress in the manufacturing industry sub-sector food and beverage listed on the Indonesia Stock Exchange. The research period is 2011-2015. In this study, using the indicator liquidity, profitability, inflation, and exchange rates. The study population includes all sub-sectors of food and beverages listed on the Indonesia Stock Exchange 2011-2015 period. The sample is determined by purposive sampling technique. Data analysis method used is logistic regression analysis. The results showed that the current ratio, return on investment and the net profit margin, and the inflation rate is the most significant variable in predicting financial distress, while the exchange rate is the only variable that was not significant in influencing financial distress.

Author(s):  
Purnamawati P

This paper assesses the effect of financial distress, business size, and institutional ownership affect tax avoidances in the Food and Beverage Sub-Sector Manufacturing Industry Registered at Listed Indonesia Stock Exchange Companies, IDX in 2016-2020. With a quantitative analysis approach, this study finds that the financial distress affects tax avoidance due to the decline in financial condition as experienced by the company. The right of large companies has a tendency to maintain its image to the public so that they will try to comply with the terms of tax payments. Meanwhile, corporate ownership has no influence on tax avoidance due to pressure on owners to implement aggressive tax policies in order to increase profits.


Author(s):  
Made Reina Candradewi ◽  
Henny Rahyuda

This study aims to analyze the effect of financial indicators, corporate governance and macroeconomic variables on financial distress in manufacturing industry companies listed on the Indonesia Stock Exchange (IDX). This research is expected to provide solutions and insight to the companies in tackling financial distress. In addition, this research is expected to enrich knowledge about the influence of financial indicators, corporate governance, macroeconomic variables on financial distress. This research is conducted using a quantitative approach. The population in this study are all manufacturing industry companies listed on the Indonesia Stock Exchange in the period of 2016-2018. The sampling technique is purposive sampling method and the final sample in this study is 136 companies. The main findings of the study show that liquidity ratio has a negative and significant effect on financial distress, leverage ratio has a positive and significant effect on financial distress, activity ratio has a negative and significant effect on financial distress and the size of the board of directors has a negative and significant effect on financial distress.


2019 ◽  
pp. 2010
Author(s):  
Arl Jonathan Paulalengan ◽  
Ni Made Dwi Ratnadi

The purpose of this study examines the effect of financial distress, company age, and good corporate governance on the speed of publication of annual financial statements. This research was focused in the food and beverage companies listed on Indonesia Stock Exchange (IDX). Samples are determined by non-probability sampling, purposive sampling technique. Sample criteria, the company reports its annual financial statements in a row from 2014 to 2017. The samples were 12 companies with four years of observation. Methods of collecting data with non-participant observation, accessing annual financial reports. The data analysis technique is multiple linear regression. Based on the results, found that financial distress had a negative effect on the speed of publication of annual financial statements. The age of the company does not affect the speed of publication of annual financial statements. Good corporate governance has a positive effect on the speed of publication of annual financial statements. Keywords: Publication, distress, good corporate governance, age


2021 ◽  
Vol 3 (2) ◽  
pp. 74-80
Author(s):  
Budi Prijanto ◽  
Rani Ferina Pulung ◽  
Agustin Rusiana Sari

This study aims to investigate: the effect of Net Profit Margin (NPM) on stock prices and whether EPS is a moderating variable on the effect of NPM on stock prices. The case study was determined on the food and beverage sub-sector companies listed on the Indonesia Stock Exchange from 2015 to 2019. The population of this study was 26 companies, with the sampling technique used was the purposive sampling method. The use of this sampling technique resulted in 11 companies that met the criteria. The data analysis techniques used include simple regression (t test), multiple regression (F test), and interaction-type moderation tests using Moderated Regression Analysis. Data processing was carried out with the help of the IBM SPSS Ver 22 program. The findings of this study were that NPM had an effect on stock prices and EPS became a moderating variable (strengthened) on the effect of NPM on stock prices.


BISMA ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 400
Author(s):  
Sumani Sumani ◽  
Andri Setiawan

Abstract: The Purpose of this study is (1) to analyze financial distress as predictor variables of financial difficulty levels banking which is listing on the Stock Exchange (BEI), and (2) determine the financial ratios, including CAR, ROE, NPL, NIM, LDR, ROA, BOPO, and the primary reserve as predictor variables of financial distress in banking sector which is listing on the BEI. The population of this study were 38 banks which is listed on the BEI until December 31th, 2014.  Number of samples were 30 banks by purposive sampling technique. The analysis tool of study used Logit regression because of dependent variable was dummy variable and the independent variables were a combination of metric and non-metric. The results showed (1) banks were listed on the BEI has good performance (financial difficulties at low levels), the analysis result of financial distress by using multiple predictor variables, such as CAR, ROE, NPL, NIM, LDR, BOPO and reserves' primary GWM has good average value where is level of accuracy (97.2) in classifying the bank's financial difficulties; (2) The hypothesis testing showed a number of variables such as CAR, ROE, NIM, LDR, and BOPO were not significant as a predictor of financial distress in banking where listed on the BEI. However, NPL and reserves' primary GWM were significant variable as predictor of financial distress in banking where listed on the BEI. Keywords: Reserves' primary GWM, Non-Performing Loan, Financial Distress


Owner ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 119-129
Author(s):  
Januardin Manullang ◽  
Nanda Pratiwi ◽  
Refiensa Yohana Sihombing ◽  
Rifka Aulia Harahap ◽  
Kevin Christian Tampubolon

This study aims to examine the effect of Return on Asset, Net Profit Margin and Current Ratio on Food and Beverage Stock Prices listed on the Indonesia Stock Exchange for the 2014-2018 period. The population in this study were all companies in the Food and Beverage sub-sector listed on the Indonesia Stock Exchange, amounting to 15 companies with a sample of 11 companies with the 2014-2018 period for 5 years and using a sampling technique, namely purposive sampling. The method of analysis used in this research is the Multiple Linear Regression Method. This research uses quantitative research. This type of research is descriptive statistics and the nature of the research is explanatory. The results of this study indicate that partially (t) Return On Asset and Net Profit Margin have no and insignificant effect on Stock Prices, while Current Ratio has a negative effect on Food and Beverage Stock Prices which simultaneously affect Return On Asset, Net Profit Margin, and Current Ratio. to the Food and Beverage Stock Price


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Hesty Erviani Zulaecha ◽  
Atik Mulvitasari

This study aims to determine the effect of liquidity, leverage, and salesgrowth on partial financial distress on property, real estate and buildingconstruction companies listed on the Indonesia Stock Exchange (IDX).The research period is 3 years in 2015-2017. The population of thisstudy covers all sectors of property, real estate and building constructioncompanies listed on the Indonesia Stock Exchange (BEI) in 2015-2017.The sampling technique uses purposive sampling technique. Based onpredetermined criteria obtained 50 samples of the company. Type ofdata which is secondary data obtained from the site Burssa EfekIndonesia. Data analysis used is regression data panel. The resultsshowed that liquidity had a positive effect on financial distress andnegative leverage on financial distress while sales growth did not affectfinancial distress.


2020 ◽  
Vol 10 (2) ◽  
pp. 149
Author(s):  
Arsinda Inggar Pawitri ◽  
Muniya Alteza

The aim of this study was to determine the effect of liquidity, profitability, leverage, operating capacity, and managerial agency costs on financial distress in manufacturing companies listed on Indonesia Stock Exchange. The research period used was 2015-2017. The type of this research was associative causal with quantitative approach. The population of this study includes all manufacturing companies listed on Indonesia Stock Exchange. The sampling technique used was purposive sampling, and obtained as many as 84 companies, consists of 42 companies that experienced financial distress, and 42 companies that didn’t experience financial distress as comparison company. Data analysis conducted through logistic regression. Based on this research, it was concluded that liquidity proxied by current ratio had no effect to financial distress. Profitability proxied by return on asset had no effect on financial distress. Leverage proxied by debt to asset ratio had a significant and possitiveeffect on financial distress. Operating capacity proxied with total asset turnover had no effect on financial distress. Managerial Agency costs had no effect on financial distress. The Nagelkerke R Square’s score in this study was 0.491 which means that the ability of liquidity, profitability, leverage, operating capacity, and managerial agency were able to explain the variable of financial distress condition by 49.1%. The remaining of 50.9% dependent variables were explained by other factors outside the model.


2021 ◽  
Vol 11 (2) ◽  
pp. 43-49
Author(s):  
Yunia Mulyani Azis

The purpose of this study is to analyze the effect of financial ratios such as leverage, liquidity, activity, and profitability on the possibility of financial distress (financial distress). The population in this study are all food and beverage companies listed on the Indonesia Stock Exchange in the period 2017 - 2020 totaling 30 companies. The samples taken were 6 food and beverage companies using a purposive sampling technique, namely the selection of samples based on certain criteria. The number of observations that were processed and analyzed were 18 observations. Logistics Regression is the method used in this research. The results showed that the activity ratio and leverage ratio had a significant effect on predicting financial distress, while the liquidity ratio and profitability ratio had no significant effect on predicting financial distress..


2021 ◽  
Vol 4 (2) ◽  
pp. 764-770
Author(s):  
Pauline Cielo ◽  
Gusganda Suria Manda

This study aims to determine and analyze the financial performance of the energy sub-sector using the Almant Z-Score method. This research is a quantitative descriptive study. The population in this study are energy sub-sector companies listed on the Indonesia Stock Exchange 2015-2019. The sample in this study amounted to 4 energy sub-sector companies, namely PT. Perusahaan Gas Negara, PT. Leyand International, PT. Rukun Raharja, and PT. Mitra Energi Persada. The sampling technique in this study was using purposive sampling technique. The results of the financial distress predictions for the energy sub-sector companies, amounting to 4 publicly traded companies during the 2015 to 2019 research period using the Altman Z-Score method. This results in three companies in financial distress and one company in a safe area. Keywords: Finansial Distress, Bankrupty, Energy Sub-sector


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