scholarly journals STUDI TENTANG FAKTOR-FAKTOR PENENTU BOND RATING PADA INDUSTRI PROPERTI, REAL ESTATE DAN PERUSAHAAN KONTRUKSI BANGUNAN YANG TERDAFTAR DI BEI PERIODE 2013-2017

2020 ◽  
Vol 14 (1) ◽  
pp. 65-76
Author(s):  
Tatiek Ekawati Permana ◽  
Ruli Mochammad Chaerudin ◽  
Darul Wiyono

Abstrak - Peringkat obligasi berguna untuk investor dan penerbit, yang memberikan informasi tentang kemampuan perusahaan untuk membayar obligasi wajib seperti kupon dan nilai nominal. Ketika suatu pemeringkat menyatakan peringkat obligasi suatu obligasi mengalami kenaikan (upgrade) artinya pemeringkat melihat kinerja perusahaan baik. Sebaliknya jika peringkat obligasi mengalami penurunan (downgrade) memperlihatkan kinerja perusahaan tersebut mengalami penurunan. Tingkat rating semakin tinggi maka hal tersebut menunjukkan kemampuan penerbit obligasi untuk membayar utangnya semakin tinggi. Tujuan dari penelitian ini adalah untuk mengidentifikasi faktor-faktor penentu Bond Rating dengan menggunakan CEO power, Leverage, Size dan Profitabilitas sebagai penentu bond rating, dan menentukan mana dari variabel paling penting yang memiliki pengaruh kuat pada perusahaan. Sampel penelitian ini adalah perusahaan properti, real estate dan perusahaan konstruksi bangunan yang terdaftar di Bursa Efek Indonesia periode 2013-2017. Penelitian ini menggunakan metode analisis data panel untuk mengetahui faktor-faktor penentu Bond Rating (CEO power, Leverage, ukuran perusahaan dan profitabilitas) di Bursa Efek Indonesia dengan sampel sebanyak 9 perusahaan yang dipilih dengan menggunakan teknik purposive sampling periode 2013-2017. Hasil uji empiris menunjukkan bahwa leverage berpengaruh negatif terhadap peringkat oligasi (Bond Rating). Abstract - Bond ratings are useful for investors and publishers, who provide information about the company's ability to pay mandatory bonds such as coupons and nominal value. When a rating states that the rating of bonds in a bond is upgraded, the rating considers the company's performance to be good. Conversely, if there is a decrease in bond rating (downgrade), it shows that the company's performance has decreased. The higher the rating level, the higher the ability of the bond issuer to pay its debt. The purpose of this research is to identify the determinants of Bond Rating by using CEO power, Leverage, Size and Profitability as a determinant of bond rating, and determine which of the most important variables that have a strong influence on the company. The sample of this research is property companies, real estate and building construction companies listed on the Indonesia Stock Exchange for the period 2013-2017. This study uses panel data analysis method to determine the determinants of Bond Rating (CEO power, Leverage, company size and profitability) on the Indonesia Stock Exchange with a sample of 9 companies selected using a purposive sampling technique for the period 2013-2017. The empirical test results show that leverage negatively affects the bond rating.

2020 ◽  
Vol 18 (2) ◽  
pp. 82
Author(s):  
Rosa Dwi Agsari

This study was conducted to examine the effect of Managerial Ownership, Profitability, Solvency and Company Size variables on Profit Management partially on property and real estate companies listed on the Indonesia Stock Exchange in the period 2013-2017. In addition, to examine the feasibility of a regression model of the influence of variable ownership variables Managerial, Profitability, Solvency and Company Size Management simultaneously on property and real estate companies listed on the Indonesia Stock Exchange in the period 2013-2017. This research was conducted on property and real estate companies on the Indonesia Stock Exchange for the period 2013-2017. The determination of the sample in this study uses a non-probability sampling method with a purposive sampling technique in order to obtain a total sample of 8 companies and a total of 40 observations. The data in this study were analyzed using panel data analysis techniques. The results showed that Managerial Ownership, Solvency and Company Size had no effect on Profit Management. Another variable in this study is that profitability has a positive and significant effect on earnings management. Simultaneously Managerial Ownership, Profitability, Solvency and Company Size Towards Profit Management. The predictive ability of the four variables on Profit Management is 22.84% as shown by the amount of Adjusted R-squared of 0.2284 while the remaining 77.16% is influenced by other factors not included in the research model.


2019 ◽  
Vol 5 (2) ◽  
pp. 1411-1422
Author(s):  
Miftahul Fauzy ◽  
Sri Astuti ◽  
Indra Kusumawardhani

This study aims to determine and test the factors that influence financial distress. The factors in this study are liquidity, profitability, activity, and sales growth. Financial distress is measured using the Springate method. Liquidity is measured using the formula Current Ratio (CR), Return On Assets (ROA) is used to measure profitability, Total Asset Turnover (TAT) is used to measure activity and Sales Growth is measured by sales per year. The population in this study was 73 property, real estate, and building construction companies listed on the Indonesia Stock Exchange in the 2013-2017 period. Based on purposive sampling technique, 18 company samples were obtained that met the criteria for five years of observation with a total of 90 observational data. Data analysis techniques in this study used logistic regression analysis. The results showed that liquidity, profitability, and activities had a significant effect on financial distress, while sales growth had no effect on financial distress in property, real estate, and building construction companies listed on the Indonesia Stock Exchange in the 2013-2017 period.


2020 ◽  
Vol 8 (1) ◽  
pp. 59
Author(s):  
Fabianca Fachreza ◽  
Nor Norisanti ◽  
Acep Samsudin

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.  


2019 ◽  
Vol 2 (3) ◽  
Author(s):  
Ashop Barqoya

The purpose of this study was to determine the effect of growth opportunity, profitability, business risk, and size on the company's capital structure either partially or simultaneously.The object of research used is the property and real estate sector companies listed on the Indonesia Stock Exchange in 2009-2017. This study uses a purposive sampling technique in determining research samples. the number of companies selected as the study sample were 18 companies registered in the property and real estate sector. This study uses a quantitative approach. The results showed that partially growth opportunity and size had not significant effect, while  profitability and business risk had a significant effect on capital structure. the results of testing simultaneously growth opportunity, profitability, business risk, and size have a significant influence on the capital structure. 


Author(s):  
Noer Sasongko ◽  
Anna Nurmulina ◽  
Dahlia Fernandez

The aim of this research is to analyze the influence of Fraud Pentagon in detecting the phenomenon of financial statement fraud. In this research, there are 5 variables that are hypothesized to affect fraud. These variables are derived from the 5 elements of the fraud pentagon, namely Pressure, Opportunity, Rationalization, Competence and Arrogance. The population of this research were property and real estate companies listed in Indonesia Stock Exchange (IDX) 2014-2016. The research used the purposive sampling technique and found 35 companies, within 3 years of observation. Thus, the total number of samples studied was 105. In this research, the hypotheses were analyzed using logistic regression analysis. The results indicated that Pressure, Opportunity, Rationalization, Arrogance have an influence on financial statement fraud. Meanwhile, Competence does not have influence on financial statement fraud.


Author(s):  
Noer Sasongko ◽  
Anna Nurmulina ◽  
Dahlia Fernandez

The aim of this research is to analyze the influence of Fraud Pentagon in detecting the phenomenon of financial statement fraud. In this research, there are 5 variables that are hypothesized to affect fraud. These variables are derived from the 5 elements of the fraud pentagon, namely Pressure, Opportunity, Rationalization, Competence and Arrogance. The population of this research were property and real estate companies listed in Indonesia Stock Exchange (IDX) 2014-2016. The research used the purposive sampling technique and found 35 companies, within 3 years of observation. Thus, the total number of samples studied was 105. In this research, the hypotheses were analyzed using logistic regression analysis. The results indicated that Pressure, Opportunity, Rationalization, Arrogance have an influence on financial statement fraud. Meanwhile, Competence does not have influence on financial statement fraud.


2016 ◽  
Vol 3 (4) ◽  
pp. 300-304
Author(s):  
M. Rudin ◽  
Djayani Nurdin ◽  
Vita Yanti Fattah

The objectives of this research were to know and analyze the effect of leverage and liquidity simultaneously and partially on profitability at go public real estate and property company in Indonesian stock exchange within the period of 2005 until 2010. In detail, this research aims were: 1) to know the effect of liquidity and leverage on profitability of property and real estate company in Indonesian stock exchange, 2) to know the effect of liquidity on profitability of property and real estate company in Indonesian stock exchange, and 3) to know the effect of leverage on profitability of property and real estate company in Indonesian stock exchange. Based on purposive sampling technique, this research determined 43 companies as research population, since 16 companies provide a comprehensive and complete financial report within the period of research. The data was analyzed using SPSS version 16 with multiple linear regression test. The result showed that: 1) leverage and liquidity simultaneously have significant effect on profitability, 2) liquidity have an effect partially on profitability, but the effect was not significant, 3) leverage have a significant effect on profitability partially.Int. J. Soc. Sc. Manage. Vol. 3, Issue-4: 300-304


2020 ◽  
Vol 2 (1) ◽  
pp. 53-79
Author(s):  
Ekka Pratama ◽  
Revan Andhitiyara

This research is aims to analyze the influence of Debt Equity Ratio,  Current  Ratio,  Maturity  and  Size  on  Banking  Company  Bond Ratings on the Indonesia Stock Exchange for the period 2012-2017. The study  uses  secondary  data  from  the  annual  financial  statements  of selected companies downloaded from the official website of the Indonesia Stock  Exchange.  The  sampling  technique  uses  purposive  sampling method. The sample in this study consisted of 11 banking companies. Data analysis was performed by testing hypotheses both partially and simultaneously. The analytical method used is binary logistic regression with a significance level of 5% and 10%. Based on the results of the study showed that partially Debt Equity Ratio (DER) variables did not significantly influence Bond Rating, Current Ratio (CR) had a positive and significant effect on Bond Rating, Maturity had no significant effect and Size had a negative and not significant effect on Bond Rating. Simultaneously, a significance value of 0.002 is obtained, because the significance value is smaller than 0.05, then all variables affect the Bond Rating. Based on the results of the study, it is expected to be able to be an evaluation material for banks related to Bond Rating and its relationship with DER, CR, Maturity, and Size so that the bank can do the processing properly.


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.


Author(s):  
Posma Sariguna Johnson Kennedy

As a prospective investor in the capital market, the right strategy should be known and applied to choose shares in the right company. One thing that must be understood is the behavior of the company's fundamental ratios such as return on equity (ROE) and price earnings ratio (PER). The purpose of this study was to determine the effect of ROE on PER, for property and real estate companies listed on the Indonesia Stock Exchange (IDX) for the period 2010-2016. Sampling is done by purposive sampling technique, totaling 24 property companies. The source of the data used comes from the company's financial statements. From the results obtained it can be concluded that ROE can predict PER on property companies on the IDX for the period 2010-2016.


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