scholarly journals The Effect of Liquidity, Leverage, Profitability, and Firm Size on the Bond Rating of Banking Sub Sector in Indonesia Stock Exchange 2014 – 2018

2020 ◽  
Vol 5 (8) ◽  
pp. 748-752
Author(s):  
Ayu Lestari ◽  
Andam Dewi Syarif
Keyword(s):  
Regression Analysis ◽  
Firm Size ◽  
Stock Exchange ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Analysis Model ◽  
Bond Ratings ◽  
Bond Rating ◽  
Simultaneous Test ◽  
Effect Model

This study aims to detect empirical evidence regarding the effect of liquidity, leverage, profitability and firm size on bond ratings. The population in this study uses banking companies listed on the Indonesia Stock Exchange in the period 2014-2018. The sampling method used was purposive sampling. 10 banking companies that met the criteria were sampled. The data analysis method used is panel data regression analysis. Panel regression analysis model used is the Fixed Effect model. The data used are secondary data in the form of annual financial ratios. The results of this study on the partial test prove that firm size has an effect on bond ratings. The results also showed that liquidity, leverage, profitability had no effect on bond ratings. The simultaneous test results prove that simultaneously liquidity, leverage, profitability and firm size have a significant effect on the bond rating

scholarly journals Analisis Faktor Keuangan dan Non Keuangan yang Mempengaruhi Prediksi Peringkat Obligasi (Studi empiris pada perusahaan penerbit obligasi yang terdaftar di Bursa Efek Indonesia periode 2012-2014)

AKUNTABEL ◽  
2017 ◽  
Vol 14 (1) ◽  
pp. 69
Author(s):  
Putri Sakinah ◽  
Ardi Paminto ◽  
M. Amin Kadafi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Data Collection ◽  
Logistic Regression Analysis ◽  
Sampling Method ◽  
Stock Exchange ◽  
Current Ratio ◽  
Bond Ratings ◽  
Bond Rating ◽  
Equity Ratio

The purpose of this study is to examine the effect of liquidity as measured by Current Ratio (CR), Leverage is measured by Debt to Equity Ratio (DER), guarantee and age of bonds to bond rating listed on the Indonesia Stock Exchange. The research sample used is a bond issuer company listed on the Indonesia Stock Exchange (IDX) period of 2012 to 2014. Data collection research using purposive sampling method. Data obtained by 10 companies in the period 2012 to 2014. This study used logistic regression analysis to analyze the data. The result of this research is the liquidity proxied with Current Ratio (CR) has no significant effect on the rating of bond in Indonesia Stock Exchange. The leverage proxied by the Debt to Equity Ratio significantly influences the rating of bonds on the Indonesia Stock Exchange and the age of the bonds and the guarantee does not significantly affect the rating of bonds in the Indonesia Stock ExchangeKeywords: Bonds, bond ratings, liquidity, leverage, age of bonds, guarantees

scholarly journals Pengaruh Ukuran Perusahaan, dan Leverange Terhadap Praktik Income Smoothing pada Bank Syariah

2020 ◽  
Vol 4 (1) ◽  
pp. 80
Author(s):  
Syawal Harianto ◽  
Haris Al Amin ◽  
Yusmika Indah
Keyword(s):  
Firm Size ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Income Smoothing ◽  
Islamic Banks ◽  
Analysis Method ◽  
Financial Leverage ◽  
Effect Model ◽  
Report Data ◽  
Test Result

This research is to know the effect of firm size, and financial leverage to Income Smoothing practices is Islamic Banks.  The data used is the secondary data with sourced from annual report data published by Islamic commercial banks and syariah business unit during 2016-2018 periods, samples research are 54 (fifty four) bank. Data analysis method using eviews with the fixed effect model. The result of the research shows that the simultan firm size and financial leverage have significant effect on Income Smoothing in Islamic banks.the partially, firm size an financial leverage has a positive and significant effect on income smoothin practices in Islamic banks City. The determination test result is 55%. Keywords: Firm Size, Financial leverage, Income Smoothing.

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>

scholarly journals Pengaruh Ukuran KAP, Ukuran Perusahaan dan Manajemen Laba terhadap Integritas Laporan Keuangan

2019 ◽  
Vol 10 (2) ◽  
pp. 138-149
Author(s):  
Intan Paulina Lubis ◽  
Lailah Fujianti ◽  
Rafrini Amyulianthy
Keyword(s):  
Regression Analysis ◽  
Earnings Management ◽  
Firm Size ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Company Size ◽  
Panel Data Regression ◽  
Data Regression ◽  
Size Firm

This study aims to analyze the effect of KAP size, firm size and earnings management on the integrity of financial statements. The integrity of financial statements is the extent to which the financial statements presented indicate true and honest information. This study was taken because there are still contradictions from previous studies. This study uses secondary data. The population in this study is the consumer goods industry companies listed on the Indonesia Stock Exchange in 2012-2016. Determination of the sample by purposive sampling method, there are 13 samples from the total population of 40. The method used to analyze the data is panel data regression analysis, Eviews 9. Regression analysis results show that firm size negatively significant to the integrity of financial statements. While the size of KAP and earnings management have no significant effect on the integrity of financial statements.Keywords: Financial Statement Integrity, Company Size, Company Size and Earnings Management

scholarly journals Kemampuan Firm Size dan Laverage Terhadap Bond Rating pada Perusahaan yang Terdaftar di Bursa Efek Indonesia

2020 ◽  
Vol 8 (1) ◽  
pp. 59
Author(s):  
Fabianca Fachreza ◽  
Nor Norisanti ◽  
Acep Samsudin
Keyword(s):  
Firm Size ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Bond Ratings ◽  
Bond Rating ◽  
Analysis Technique ◽  
Negative Effect

This study aims to examine the effect of Firm Size and Leverage on Bond Ratings in banking subsector companies in the Indonesia Stock Exchange period 2018. The sample in this study was obtained using purposive sampling method which is included in the non-probability sampling technique. The sample in this study consisted of banking subsector companies listed on the IDX in 2018 and rated by PT PEFINDO with a total of 22 banking companies. The method used in this research is descriptive with quantitative and associative approaches. The data analysis technique used is multiple linear regression analysis with an R Square value of 0.030 which can be interpreted as the effect of firm size and leverage on a bond rating of 3% and the remaining 97% is influenced by other factors not examined in this study. F Test results show a value of Fcount 0.295 <3.49 Ftable which means there is no effect on firm size and leverage on the bond rating. From the test results partially firm size variables have a positive effect and leverage has a negative effect on the bond rating.  

scholarly journals PENGARUH EXECUTIVE INCENTIVE, FIRM SIZE, DAN LEVERAGE TERHADAP EARNINGS MANAGEMENT PADA PERUSAHAAN LQ-45 YANG TERDAFTAR DALAM BURSA EFEK INDONESIA PERIODE 2015-2018

Paradigma ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 62-72
Author(s):  
Nadhila Ellyane Ardaputri ◽  
Dikdik Saleh Sadikin
Keyword(s):  
Regression Analysis ◽  
Earnings Management ◽  
Multiple Regression Analysis ◽  
Firm Size ◽  
Sampling Method ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Effect Model ◽  
Positive Effect

This study aims to determine the effect of Executive Incentive, Firm Size, and Leverage on Earnings Management. The object of research in this study is the LQ-45 company listed on the Indonesia Stock Exchange (BEI) in the 2015-2018 period. This research uses purposive sampling method so that 27 companies are obtained with a total of 97 observations after outliers. This study uses a random effect model and multiple regression analysis used in hypothesis testing. This study provides results that the executive incentive LQ-45 company does not affect earnings management; firm size has a positive effect on earnings management; and leverage has no effect on earnings management.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI RETURN SAHAM PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA

2021 ◽  
Vol 5 (1) ◽  
pp. 42-55
Author(s):  
Mulia Andirfa ◽  
Eka Chyntia ◽  
Iva Septarina ◽  
Maryana
Keyword(s):  
Stock Returns ◽  
Commercial Banks ◽  
Stock Exchange ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Financial Reports ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Positive Effect

This study aims to analyze the effect of ROE, CAR, NPL, BOPO, and DER simultaneously on stock returns in  commercial banks listed on the Indonesia Stock Exchange. The data used in this study are secondary data in the form of financial reports at PT. Bank Rakyat Indonesi Tbk, PT. Bank Negara Indonesia Tbk, PT. Bank Mandiri Tbk, PT. Bank Central Asia Tbk, and PT. Bank Mega Tbk. from 2014-2019. The data analysis method used is panel data regression analysis, namely the Fixed Effect Model (FEM). The results showed that: ROE theoretically and statistically affect stock returns in commercial banks listed on the Indonesia Stock Exchange. CAR is theoretically and statistically insignificant to stock returns in Commercial Banks listed on the Indonesia Stock Exchange. BOPO has a theoretical effect but does not have a statistical and significant effect on stock returns in  commercial banks listed on the Indonesia Stock Exchange. NPL and DER have no effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER simultaneously have a positive effect on stock returns in) Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER have the ability to explain their effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange of 44.09%. The remaining 55.01% is influenced by other variables outside this research model.

scholarly journals The Effect of Financial Condition on Firm Value: A Comparative Study

2021 ◽  
Vol 16 (2) ◽  
pp. 199
Author(s):  
Dwiyanjana Santyo Nugroho
Keyword(s):  
Regression Analysis ◽  
Firm Size ◽  
Firm Value ◽  
Random Effect ◽  
Random Effect Model ◽  
Analysis Model ◽  
Financial Reports ◽  
Financial Condition ◽  
Effect Model ◽  
The Difference

This study analyzes a company’s financial condition on firm value. We also evaluated the difference in firm value between corporate sectors affected and unaffected by the COVID-19 pandemic. The regression analysis model used is the random effect model as well as the difference-in-difference technique. The study uses data from the company’s interim financial reports for the first and second quarters of 2018, 2019, and 2020. We found that firm size and leverage influence firm values. This applies to companies in the affected sectors, such as hotel, restaurant, and tourism sub-sectors, and unaffected sectors, such as health, pharmacy, and telecommunication sub-sectors. We also found that firm values in affected and unaffected sectors, before and during COVID-19, do not significantly differ. Keywords: COVID-19, financial condition, firm value

scholarly journals The Effect Of Fiscal Decentralization To Gross Domestic Regional Product Of District / City In South Sumatra Province

2017 ◽  
Vol 1 (2) ◽  
pp. 181
Author(s):  
Dessy Dian Syari ◽  
Syamsurijal Syamsurijal ◽  
Bernadette Robiani
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Fiscal Decentralization ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Direct Impact ◽  
Effect Model ◽  
District Economy ◽  
Fiscal Decentralisation ◽  
Regional Product

This study aims to examine the effect of fiscal decentralization on gross regional domestic product (GRDP) of districts in South Sumatera. The data used in this study are secondary data in the form of GRDP, district expenditure to provincial expenditure ratio, district revenue to district expenditure ratio and balancing fund to district revenue ratio in 15 districts/cities in South Sumatera for 11 years during the period of 2005-2015. Multiple regression analysis on fixed effect model is used in analyzing the data. The result shows that simultaneosly, fiscal decentralisation has significant effect on GRDP of districits/cities in South Sumatera. However, in partial test, the district expenditure to provincial expenditure ratio is positive and insignificant. This is related to the district expenditure allocation that has not any direct impact on the district economy thus, it has yet to give results that can support the economic growth.

scholarly journals PENGARUH FIRM SIZE, CURRENT RATIO, PROFITABILITAS, DAN HUTANG HARGA SAHAM DENGAN DEVIDEN SEBAGAI MODERATING VARIABEL

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Siti Khuswatun Khasanah
Keyword(s):  
Regression Analysis ◽  
Firm Size ◽  
Quantitative Research ◽  
Stock Exchange ◽  
Target Population ◽  
Research Approach ◽  
Analysis Model ◽  
Current Ratio ◽  
Analysis Techniques ◽  
Manufacture Sector

<p><em>The purpose of this study is to get a picture of the DPR moderating both partially and simultant on the Effect of DER, ROA, Firm Size on PER. The research approach used is a quantitative research approach. This type of research is documentation research while the nature of research is quantitative correlative. The target population of the study is the Manufacture Sector Sub Sector Consumer Goods Company in the Indonesia Stock Exchange, which amounted to 38 (thirty eight) issuers. While the sampling collection technique is a non-probability-purposive sampling so that the number of sample research targets is four issuers. The data analysis techniques applied include: 1. Descriptive Statistic Analysis; 2. Partial Regression Analysis; 3. Multiple Regression Analysis; and 4. Moderate Regression Analysis Model. the results of hypothesis testing through the t test, show that partially. DPR is able to moderate the influence of DER, ROA, Firm Size on PER. Whereas from the F test shows that simultant, the DPR is able to moderate the Effect of DER, ROA and Firm Size on PER. In this case, DER is a dominant and significant dominant predictor of PER.</em></p><p><em> </em></p><em>Keyword: Dividend Payout Ratio, Price Earning Ratio.</em>

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