Can the dual-rating regulation improve the rating quality of Chinese corporate bonds?

We developed a dual-reputational rating shopping model to introduce public and institutional reputations. Investor’s and regulator’s penalty rates are described as public and institutional reputations, respectively. We achieved the available conditions of single-rating and dual-rating regulations to prevent rating inflation in this model. To examine the regulatory effects of different types of regulations on Chinese corporate bond ratings, we utilize panel ordered logit models. Theoretical analysis and empirical tests show that, when the reputation effect is low, the single-rating regulation is better at improving rating quality, and when the reputation effect is high, the dual-rating regulation induces rating agencies to provide more accurate ratings. Compared to the regulatory effects of the single-rating and the multi-rating regulations, the dual-rating regulation most effectively improves the rating quality of corporate bonds and prevents rating inflation.

The Effect Of Profitability, Liquidity, Leverage On Bond Rating Of Financial Companies

This research was ain determine and analyze the effect of Simultaneous and Partial on Current Ratio, Debt to Equity Ratio, and Return On Assets on Bond Ratings in financial sector companies on the Indonesia Stock Exchange for the 2016-2019 period. The population of this reserach is the financial sector companies as many as 94 companies. The sampling method used purposive sampling, and the number of samples obtained was 18 companies. This type of research is quantitative descriptive using multiple linear regression analysis method. The results of this research show that the variables Current Ratio, Debt to Equity Ratio, and Return On Assets simultaneously have a significant effect on the Bond Rating of financial sector companies on the Indonesia Stock Exchange (IDX) in 2016-2019. Partially, Current Ratio, Debt to Equity Ratio, and Return On Assets have a significant positive effect on Bond Ratings for financial sector companies on the Indonesia Stock Exchange (IDX) in 2016-2019.

Pengaruh Good Corporate Governance Terhadap Peringkat Obligasi

<em>Bond ratings are a scale of risk of all bonds traded, which indicates how safe a bond is. The security of a bond is indicated by its ability to pay interest and repay the loan principal. The purpose of this study is to find out empirical evidence that good corporate governance has an effect on bond ratings. This study uses secondary data. The population in this study are non-financial companies listed on the IDX in 2014-2018. The research sample was selected using purposive sampling method. After subtraction with several criteria, as many as 20 companies were set as the sample. The analysis technique in this study uses multiple linear regression analysis. The results of this study indicate that institutional ownership and audit committee have a significant effect on bond ratings. Meanwhile, the independent board of commissioners has no significant effect on bond ratings</em>

Signaling Climate Resilience to Municipal Bond Markets: Does Membership in Adaptation-Focused Voluntary Clubs Affect Bond Rating?

This paper examines whether U.S. cities’ membership in voluntary climate clubs improves the municipal bond ratings issued by S&P, Moody’s, and Fitch. We suggest that only clubs focused on climate adaptation could help cities signal their resilience to climate risks and their ability to service their municipal bonds. Yet, club membership is only a signal of intent. By itself, it does not offer concrete evidence that cities have adopted adaptation policies or enhanced their resilience to climate risks. We examine three climate clubs: ICELI, whose membership obligations cover climate and other environmental issues; the C40 club, whose scope covers both climate mitigation and adaptation; and the 100 Resilient Cities (100RC) program, which focuses on adaptation only. Employing a two-way fixed effects model for a panel of 80 U.S. cities from 1995 to 2018, we find that 100RC membership leads to a small improvement in bond ratings. This has important policy implications: assurances about implementing adaptation policy, as opposed to evidence about how adaptation reduces climate risks, could have spillover effects on municipal finance. In such cases, climate adaptation could have tangible implications for city-level finances.

The role of financial factors and non-financial factors on corporate bond and sukuk rating Indonesia

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.

Factors Affecting Corporate Bond Ratings in Indonesia

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.

Effect of Liquidity, Productivity and Firm Size on Bond Ranking

The purpose of this research was to analyze the effect of liquidity, productivity and firm size on bond ratings on non financial companies in ranked PT PEFINDO and listed on the Indonesia Stock Exchange in the period 2016-2019. The sampling method used was purposive sampling method in order to obtain 31 non financial companies with a total research of 93 samples. The data analysis technique used in this research is multiple linear regression analysis with IBM SPSS version 25 software. The results of this research indicate that the liquidity variable which is proxied by current ratio has no significant effect on bond ratings. While the productivity variable which is proxied by total asset turnover and firm size which is proxied by natural log total assets has a significant positive effect on bond ratings.