scholarly journals ACCURACY OF SPRINGATE, ZMIJEWSKY AND GROVER AS LOGISTIC MODELS IN FINDING FINANCIAL DIFFICULTY OF FINANCING COMPANIES

ACCRUALS ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Munawarah Munawarah ◽  
Keumala Hayati
Keyword(s):  
Predictive Models ◽  
Financial Distress ◽  
Stock Exchange ◽  
Logistic Models ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Financial Difficulty ◽  
Analysis Model ◽  
Financial Reports

This study aims to determine both the Springate model, Grover and Zmijewski able to predict the condition of financial distress in finance companies listed on the Indonesia Stock Exchange. And of the three models can be known which model is the most accurate in predicting financial distress. The population in this study are companies in the financing sector listed on the Indonesia Stock Exchange in the period 2013 to 2017 as many as 17 companies. By using purposive sampling technique, a total sample of 85 financing companies was obtained. The data used are secondary data sourced from the company's annual financial reports. The analysis model used is logistic regression. Simultaneously, all predictive models for Springate, Zmijewski, and Grover affect the probability of financial distress. While partially only Zmijewski can influence the prediction of financial distress conditions in Financing sub-sector companies listed on the Indonesia Stock Exchange. Nagelkerqe Square value shows 0.606 meaning that only 60.6% variation of the accuracy of these three models in predicting financial distress conditions of finance companies. While the remaining 39.4% can be explained by other models not examined in this study

scholarly journals Akurasi Model Logistik Springate, Zmijewski, dan Grover Dalam Menakar Kesulitan Keuangan Perusahaan Pembiayaan

2019 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Munawarah Munawarah
Keyword(s):  
Logistic Regression ◽  
Predictive Models ◽  
Financial Distress ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Annual Reports ◽  
Analysis Model ◽  
Purposive Sampling

This study aims to determine springate, grover and zmijewski able to predict the condition of financial distress in finance companies listed on the Indonesia Stock Exchange. From  three models can be known which model is the most accurate in predicting financial distress. There are 17 companies in Financing sector as population in this study from 2013-2017. Using purposive sampling technique, total sample of 85 financing companies was obtained. Secondary data were used in this research sourced from the company's annual reports. The analysis model used is logistic regression. Simultaneously, all predictive models affect the probability of financial distress. While partially only Zmijewski can influence the prediction of financial distress conditions in Financing sub-sector companies listed on the Indonesia Stock Exchange. Nagelkerqe Square value shows 0.606 meaning that only 60.6% variation of the accuracy of these three models in predicting financial distress conditions of finance companies. While 39.4% can be explained by other models not examined in this study.

scholarly journals The Effect of Prior Opinion and Potency of Financial Distress on Going Concern Audit Opinion

2019 ◽  
Vol 1 (3) ◽  
Author(s):  
Putu Yudha Asteria Putri ◽  
Putu Dian Pradnyanitasari ◽  
I Gusti Ayu Ratih Permata Dewi
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Manufacturing Industries ◽  
Audit Opinion ◽  
Going Concern ◽  
Going Concern Opinion ◽  
Prior Opinion

This study aims to obtain empirical evidence of the influence of prior opinion and the potential of financial distress on going concern opinion. Going concern opinion happened  because the indicated of the company is no longer able to live the life to work. The results of previous studies get inconsistent results in terms of the effect of potential financial distress on the going concern opinion. The other indicators that can influence the existence of a going concern opinion is prior opinions which are previous opinions by an auditor. This study uses secondary data in manufacturing industries that listed on the Indonesia Stock Exchange in the period 2012-2018 become the population in this study with a total sample of 77 samples selected by purposive sampling technique.

scholarly journals Pengaruh Good Corporate Governance (GCG), Profitabilitas, dan Leverage Terhadap Nilai Perusahaan

2020 ◽  
Vol 1 (2) ◽  
pp. 113-123
Author(s):  
Indriana Damaianti
Keyword(s):  
Corporate Governance ◽  
Firm Value ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Annual Reports ◽  
Financial Reports ◽  
Mining Companies ◽  
Good Corporate Governance

Abstract: The purpose of purpose of this study is to determine the influence of Good Corporate Governance (GCG), profitability, and leverage on firm value in mining companies. This study used secondary data from financial reports, annual reports, and other related information of mining companies listed on Indonesia Stock Exchage (IDX) in the 2014-2018 period. The research method used is the explanatory method. The population in this study were mining companies listed on the Indonesia Stock Exchange (IDX) in the 2014-2018 period, which were 41 companies with total sample 30 companies that matches the criteria. The sampling technique used is a purposive sampling. Data analysis technique used is multiple linear regression. The result showed that only Good Corporate Governance (GCG) variable measured by board of director has a positive and significant effect on the firm value, meanwhile profitability variable measured by Return On Asset (ROA), leverage variable measured by Debt to Equity Ratio (DER), and Good Corporate Governance (GCG) variable measured by board of commissioner independent not significantly impact on the firm value in mining companies.

scholarly journals DAMPAK PANDEMI COVID 19 TERHADAP KINERJA KEUANGAN SEKTOR PERBANKAN DI INDONESIA

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Agung Anggoro Seto
Keyword(s):  
Financial Performance ◽  
Banking Sector ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Wilcoxon Test ◽  
Financial Reports ◽  
Asset Quality ◽  
The Impact

This study aims to determine the impact of the Covid-19 pandemic on the financial performance of the banking sector in Indonesia. This type of research is comparative, the population in this study are all banking companies listed on the Indonesia Stock Exchange, totaling 45 companies, the sampling technique is by using purposive sampling with a total sample of 5 banking companies. The data source uses secondary data in the form of financial reports with data collection techniques using library research. The data analysis technique used the paired-sample t-test and Wilcoxon test. The results showed that there was no difference in the financial performance of the banking sector for the variables of capital, asset quality, and liquidity before and during the covid-19 pandemic with a significance value of 0.538, 0.444, and 0.191 respectively, while for the profitability variable there were differences in the profitability of banking in Indonesia before and during the covid-19 pandemic with a significance value of 0.019.

scholarly journals THE EFFECT OF CHANGE MANAGEMENT, KAP SIZE, PUBLIC OWNERSHIP, AND FINANCIAL DISTRESS ON AUDITOR SWITCHING (Case Study On Mining Companies Listed On The Indonesia Stock Exchange Period 2015-2019)

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Titi Klarasati ◽  
Nur Isna Inayati ◽  
Eko Hariyanto ◽  
Edi Joko Setyadi
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Probability Method ◽  
Public Ownership ◽  
Financial Reports ◽  
Management Change ◽  
Auditor Switching ◽  
Mining Companies

This research aimed to analyze the effect of management change, KAP size, public ownership, and financial distress on auditor switching. This research is a quantitative study with secondary data in the form of company annual financial reports. In this study, auditor switching is calculated using dummy variables. The sample used in this study were mining companies listed on the Indonesia Stock Exchange in 2015-2019. Sampling was done by non-probability method with purposive sampling technique and obtained samples of 32 companies with 160 annual report data as observation material. The data analysis method used in this research is logistic regression analysis. The results of this study indicated that KAP size has a positive effect on auditor switching, while management change, public ownership, and financial distress have no effect on auditor switching. Keywords: Management Change, KAP Size, Public Ownership, Financial Distress, Auditor Switching.

Pengaruh keputusan investasi, keputusan pendanaan, dan kebijakan dividen terhadap nilai perusahaan yang terdaftar di Bursa Efek Indonesia

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Dina Patrisia ◽  
Muthia Roza Linda ◽  
Ursa Yulianti
Keyword(s):  
Dividend Policy ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Manufacturing Companies ◽  
Positive Direction ◽  
Company Value

This study aims to analyze the effect of investment decisions, funding decisions, and dividend policy on the value of the company. This research is classified as causative research. The populations in this study are all Manufacturing companies listed on the Stock Exchange in 2012-2016. The sampling technique in this study is using purposive sampling technique with a total sample of 213 samples. The data used is secondary data. The data analysis method used is multiple regression. The results showed that investment decision variables affect the value of the company in a positive direction, funding decisions affect the value of the company in a negative direction, and dividend policy affects the value of the company with a positive direction on Manufacturing companies listed on the IDX. With this research, it is expected that researchers who can further conduct research related to factors that influence the value of the company whose impact is higher than what researchers have met. By using different proxy and data processing methods to produce more accurate data processingKeywords: Investment decisions; funding decisions; dividend policy; company value

scholarly journals Pengaruh Likuiditas, Leverage, Profitabilitas, dan Ukuran Perusahaan terhadap Financial Distress di Sektor Trade, Service, and Invesment

2021 ◽  
Vol 9 (3) ◽  
pp. 1227-1240
Author(s):  
Hasivatus Sariroh
Keyword(s):  
Firm Size ◽  
Financial Distress ◽  
Ordinal Data ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Annual Reports ◽  
Return On Assets ◽  
Current Ratio ◽  
Independent Variables

This study is a quantitative study that aims to determine the effect of the current ratio, debt to asset ratio, return on assets, and firm size on financial distress. Logistic regression method was used to test all relationships between independent variables and dependent variables with nominal/ordinal data scales. The dependent variable in this study is financial distress. The independent variables in this study are liquidity, leverage, profitability and firm size. This study uses secondary data from annual reports of trading, service, and investment companies listed on the Indonesia Stock Exchange from 2016 to 2018. The population used is companies in the trade, services, and investment sectors listed on the Indonesia Stock Exchange (IDX). from 2016 to 2018 with a total of 162 companies selected using purposive sampling technique. The results of hypothesis testing indicate that the current ratio, debt to asset ratio, return on assets, and firm size have no effect on the company's financial distress. From research conducted by researchers, for management to be used as a basis to take corrective actions if there are indications that the company experiencing financial distress. For investors, to be used as a basis in making the right decision to invest in a company.

scholarly journals ASOSIASI KARAKTERISTIK CEO TERHADAP POTENSI KESULITAN KEUANGAN PERUSAHAAN

2020 ◽  
Vol 1 (2) ◽  
pp. 153-168
Author(s):  
Felix Leonardo Tanjaya ◽  
Eko Budi Santoso
Keyword(s):  
Financial Distress ◽  
Work Experience ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Total Sample ◽  
Annual Reports ◽  
Company Performance ◽  
Data Types ◽  
Facial Masculinity

This study aims to determine the effect of CEO characteristics interms of facial masculinity, education, and experience to potential of financialdistress. Facial masculinity was measured using dummy variables consistingof masculinity and feminism. Education was measured using dummyvariables of educational level; meanwhile, experience was measured usingdummy variables from CEO work experience. This research used quantitativewith secondary data types taken from annual reports of non-financialcompanies that are listed on Indonesia Stock Exchange. The sampling methodused purposive sampling with the observation period of 2016–2018 andobtained a total sample of 259 samples. The method data analysis usedmultiple linear regression analysis. The result showed that: (1) CEO facemasculinity did not affect financial distress, (2) CEO education did notaffect financial distress, (3) CEO experience positively influenced financialdistress. The results showed the fact that CEO experience is an importantfactor that could improved company performance for avoiding financialdistress potential.

scholarly journals PENGARUH PAJAK, TUNNELING INCENTIVE, DEBT COVENANT DAN PROFITABILITAS TERHADAP KEPUTUSAN MELAKUKAN TRANSFER PRICING

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Ahmad Junaidi ◽  
Nensi Yuniarti. Zs
Keyword(s):  
Stock Exchange ◽  
Transfer Pricing ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Manufacturing Companies ◽  
Debt Covenants ◽  
Debt Covenant

This study aims to determine the effect of taxes, tunneling incentives, debt covenants, and profitability on the company's decision to transfer pricing. The data used in this study is secondary data obtained from accessing the web www.idx.co.id. The population of this research was manufacturing companies listed on the Indonesia Stock Exchange in 2013-2017. The sampling technique used was purposive sampling. The number of companies sampled in the study was 27 companies so that the total sample of the study was 135 observations. This study used the multiple linear regression analysis technique. The results of this study known there are still many variables outside the research that can explain transfer pricing.The determination coefficient is 0.441 which means that 44.1%. It indicates that the company transfers pricing is influenced by these variables, while the rest is explained by other variables.Based on the  result can be concluded that taxes, debt covenants and profitability has a positive effect on the decision to transfer pricing. While the tunneling incentive does not effect the decision to conduct transfer pricing.Keywords: Tax, Tunneling Incentive, Debt Covenant, Profitability, and Transfer Pricing

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI AKTIVITAS HEDGING DENGAN INSTRUMEN DERIVATIF VALUTA ASING

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Fay Guniarti
Keyword(s):  
Logistic Regression ◽  
Firm Size ◽  
Financial Distress ◽  
Firm Value ◽  
Foreign Currency ◽  
Stock Exchange ◽  
Secondary Data ◽  
Analysis Model ◽  
Growth Opportunity ◽  
Probability Prediction

<p>Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi aktivitas hedging dengan instrumen derivatif valuta asing pada perusahaan non keuangan yang terdaftar di BEI tahun 2010-2012. Data yang digunakan adalah<br />data sekunder yang diunduh dari website Bursa Efek Indonesia. Populasi dalam penelitian ini adalah seluruh perusahaan yang terdaftar di Bursa Efek Indonesia tahun 2010-2012. Sedangkan sampel penelitian ini sejumlah 77 perusahaan yang memiliki eksposur transaksi dan memiliki kelengkapan data untuk diteliti. Dari sampel tersebut sebanyak 28 perusahaan melakukan aktivitas hedging selama periode pengamatan dan 49 perusahaan tidak melakukan aktivitas hedging.Analisis Logistic Regression digunakan untuk menguji hipotesis. Hasil pengujian menunjukkan bahwa model analisis menghasilkan ketepatan 79.2% dan variabel leverage, liquidity, firm size dan financial distress berpengaruh signifikan terhadap prediksi probabilitas aktivitas hedging dengan tingkat signifikansi 5%, sedangkan variabel firm value dan growth opportunity berpengaruh tidak signifikan.</p><p> </p><p>The objective of the study was to know the factors which influence the hedging activity with foreign currency derivative instruments at non-financial companies listed on the Indonesia Stock Exchange in 2010-2012. The data of the research were secondary data which was downloaded from the Indonesia Stock Exchange website. The population of the study was all companies listed in Indonesia Stock Exchange in the period of 2010-2012. There were 77 companies which had the transaction exposure andcomplete data for analysis. From those samples, only 28 companies did hedging activities during the period of observation and 49 companies did not do hedging activities.The data were analyzed by Logistic Regression Analysis to test the hypothesis. The test result showed that analysis model gave the accuracy 79.2% and the research variables; leverage, liquidity, firm size, and financial distress significantly influenced the probability prediction of hedging activity with 5% level of significancy, while the research variables; firm value and growth opportunity did not give significant influence.</p>

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