Patent Applications and Corporate Bond Ratings

2021 ◽  
Vol 50 (6) ◽  
pp. 1495-1534
Author(s):  
Sejin Jung ◽  
Jeongdae Yim
1984 ◽  
Vol 7 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Larry G. Perry ◽  
Glenn V. Henderson ◽  
Timothy P. Cronan

2021 ◽  
Vol 3 (2) ◽  
pp. 98-107
Author(s):  
Ruspriono ◽  
Bambang Santoso Marsoem

Bonds provide a rating signal for the issuer and investors of the ability to pay off a bond. This study aims to explain the factors that affect the ranking in terms of accounting and non-accounting aspects. This study uses all corporate bonds actively traded on the Indonesia Stock Exchange (IDX) and are denominated in rupiah as of December 31, 2019, sourced from Bloomberg, which consists of 996 companies. The method in the sample is the purposive sampling method. This sample consists of 35 companies with 111 bonds, testing the hypothesis using ordinal logistic regression analysis with SPSS Version 25.0 data processing tools. The results showed that liquidity had a positive effect on bond ratings, activity does not affect bond ratings, leverage, profitability, maturity, and auditor reputation have a negative effect on bond ratings.


1999 ◽  
Vol 1999 (4) ◽  
pp. 64-73 ◽  
Author(s):  
Sean C. Keenan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nisful Laila ◽  
Sylva Alif Rusmita ◽  
Eko Fajar Cahyono ◽  
W.N.W. Azman-Saini

Purpose This study aims to analyze the determinants of ratings of corporate bonds and sukuk issued by firms listed on the Indonesia Stock Exchange (IDX) for the 2013–2019 period. Design/methodology/approach This study uses a quantitative approach by testing hypotheses and using logistic regression. Ordinal logistic endogenous (or dependent) variables (Y) in ordinal logistics use data in the form of levels (ordinal scale). Independent (or exogenous) variables (X), include financial and non-financial factors for dependent (or endogenous) variables (Y), namely, of corporate bonds and sukuk ratings. There are two approaches to the study they are Logit and Gompit (Negative Log-Log. The population of the study is Indonesian companies listed on the IDX that issued bonds and sukuk for the 2013–2019 periods. The sampling technique is purposive. In total, 16 corporate companies adhering to the above criteria and issuing bonds and sukuk were chosen. In total, 270 types of bonds and 280 types of sukuk were selected as samples. Findings The results of the Logit and Gompit regression show that leverage ratio, firm size, security structure and maturity date are important determinants of corporate bond ratings while profitability and liquidity ratios appear to have no influence on the rating. In the case of sukuk, profitability, liquidity and maturity date play important roles in influencing the corporate sukuk rating. However, there is no evidence to suggest that leverage ratio, company size and security structure may affect sukuk ratings. Research limitations/implications For both sukuk and bond issuers, it is necessary to pay attention to the factors that may affect the ratings. Specifically, Sukuk issuers need to pay attention to the return of asset, current ratio, growth and structure. On the other hand, bond issuers need to consider depth to equity, structure and maturity. As for investors, the findings of this study reveal that both bond and sukuk ratings reflect their performance. Practical implications This study provides useful information for investors that allows them to assess the risk of sukuk or bonds chosen based on rating and financial performance. Originality/value The novelty of this study lies in its econometric methodology used to identify factors which influence sukuk and bond ratings. Specifically, this study used two different techniques that allow a robust conclusion to be drawn. Furthermore, this study provides a systematic analysis which allows comparison between factors which affect bond and sukuk ratings in Indonesia.


2004 ◽  
Vol 31 (9-10) ◽  
pp. 1327-1353 ◽  
Author(s):  
Martin Feinberg ◽  
Roger Shelor ◽  
James Jiang
Keyword(s):  

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