MULTIVARIATE ANALYSIS OF CORPORATE BOND RATINGS AND INDUSTRY CLASSIFICATIONS

Previous statistical models designed to predict bond ratings use a variety of financial data and ratios; however, the possible effect of the industry in which the firms operate is generally disregarded. Although the exact bond rating process used by the rating agencies is not known, industry analysis is an important component of the process. This study evaluates the use of industry-specific multiple discriminant functions for predicting bond ratings. The results support using such a technique.     

Managerial ability and bond rating changes

This study examines the relation between managerial ability and bond credit rating changes. We attempt to add to the credit rating agency literature by exploring the role managerial ability plays in the initial bond rating assignments and in rating changes. We predict firms with more‐able managers are more likely to have higher bond ratings and to be more able to have a positive influence on rating changes. We find a significant and positive relation between managerial ability and change in credit ratings, suggesting that more‐able managers can take effective actions to improve their credit ratings.     

Rating shopping and rating inflation in Israel

Firms may exploit the option of choosing among different rating agencies in order to pick the highest rating offered. This possibility, known as rating shopping, is relatively limited on the US corporate bond market because the two main rating agencies (S&P and Moody's) rate virtually all large bond issuers. In this study, we use the data on corporate bond ratings assigned by two Israeli rating agencies affiliated with S&P and Moody's during the period 2004–2012. We show that while one agency (Midroog) systematically assigned higher ratings, the ratings of the other agency (S&P-Maalot) were inflated due to rating shopping. However, despite the many features that encourage rating inflation, the resulting distortion was relatively small (one notch). This may be a fair price for maintaining a competitive rating industry.     

多重信用评级与债券融资成本——来自中国债券市场的经验证据

本文揭示了多重信用评级的信息生产机制和信用认证机制,排除了“信用评级购买”假说对于多重评级动机的解释,研究发现:多重信用评级有利于降低债券融资成本;相对于不一致的多重信用评级,一致的多重信用评级更有利于降低债券融资成本。在多重信用评级中,相对于评级机构均为“发行人付费”模式,兼有“投资者付费”模式的信用评级更有利于降低债券融资成本。此外,当多重信用评级的评级意见不一致时,平均评级的信息含量最高,即综合不同信用评级所包含的多种信息比任何单一信用评级更加具有信息含量。本研究为我国债券市场双评级制度提供了理论和经验证据的支持,有助于完善多元化信用评级制度和债券市场监管制度,并提示发债企业可以通过多重信用评级向市场传递更多和更具效度的评级信息,以弥补单一信用评级的信息不足和评级结果失准,减少投资者决策的不确定性,从而降低债券融资成本。     

SPLIT RATINGS,BOND YIELDS,AND UNDERWRITER SPREADS

A split bond rating occurs when Moody's and Standard & Poor give different ratings to the same issue. We examine 1,277 public industrial bond issues, where 221 have split ratings, issued from 1980 through mid-1993. For split-rated industrial bonds, neither rating agency consistently gives higher ratings. Earlier studies find yields for split-rated bonds to be priced as either the higher or the lower of the ratings. We find the yields on split-rated bonds to be an average of the yields on the two ratings. Split ratings for industrial bonds appear to reflect random differences on the part of rating agencies. Our results differ from previous studies because we use a substantially larger sample and include high-yield bonds. As long as a bond has an investment-grade rating, the underwriter fees are found to be essentially the same for all rating categories. Below investment grade, the rating substantially affects the underwriter fee. Thus, split ratings for high-yield bonds have an important effect on the underwriter spread.     

Ratings Quality and Borrowing Choice

Past studies document that incentive conflicts may lead issuer‐paid credit rating agencies to provide optimistically biased ratings. In this paper, we present evidence that investors question the quality of issuer‐paid ratings and raise corporate bond yields where the issuer‐paid rating is more positive than benchmark investor‐paid ratings. We also find that some firms with favorable issuer‐paid ratings substitute public bonds with borrowings from informed intermediaries to mitigate the “lemons discount” associated with poor quality ratings. Overall, our results suggest that the quality of issuer‐paid ratings has significant effects on borrowing costs and the choice of debt.     

Firms' Off-Balance Sheet and Hybrid Debt Financing: Evidence from Their Book-Tax Reporting Differences

We match large U.S. corporations' tax returns during 1989–2001 to their financial statements to construct a firm‐level proxy of firms' use of off‐balance sheet and hybrid debt financing. We find that firms with less favorable prior‐period Standard & Poor's (S&P) bond ratings or higher leverage ratios in comparison to their industry report greater amounts of interest expense on their tax returns than to investors and creditors on their financial statements. These between‐firm results are consistent with credit‐constrained firms using more structured financing arrangements. Our within‐firm tests also suggest that firms use more structured financing arrangements when they enter into contractual loan agreements that provide incentives to manage debt ratings. Specifically, we find that after controlling for S&P bond rating and industry‐adjusted leverage, our sample firms report greater amounts of interest expenses for tax than for financial statement purposes when they enter into performance pricing contracts that use senior debt rating covenants to set interest rates. Furthermore, we find that the greatest book‐tax reporting changes occur when firms become closer to violating these debt rating covenants. These latter findings are consistent with firms' contractual debt covenants influencing their use of off‐balance sheet and hybrid debt financing.     

INFORMATION OPACITY AND FITCH BOND RATINGS

We examine the marginal impact of Fitch ratings on the at‐issuance yields of industrial and utility bonds rated by Moody's and Standard & Poor's. We find that Fitch ratings reduce the yield premiums on information‐opaque bonds by about 30%, or 15 basis points. The finding is robust even when a Fitch rating exactly equals the two major ratings or their average. The findings suggest that Fitch ratings are not redundant but bring additional information to investors. Increased competition in the rating industry enhances the information efficiency of the bond market, and the existence of smaller rating agencies is economically justified.     

Financial Distress in the Great Depression

We use firm‐level data to study corporate performance during the Great Depression era for all industrial firms on the NYSE. Our goal is to identify the factors that contribute to business insolvency and valuation changes during the period 1928‐1938. We find that firms with more debt and lower bond ratings in 1928 became financially distressed more frequently during the Depression, consistent with the trade‐off theory of leverage and the information production role of credit rating agencies. We also document for the first time that firms responded to tax incentives to use debt during the Depression era but that the extra debt used in response to this tax‐driven “debt bias” did not contribute significantly to the occurrence of distress. Finally, we conduct an out‐of‐sample test during the recent 2008‐2009 Recession and find that higher leverage and lower bond ratings also increased the occurrence of financial distress during this period.     

Rating Agency Reputation,the Global Financial Crisis,and the Cost of Debt

Why do foreign firms obtain credit ratings by global rating agencies rather than from their home country's rating agencies even though global raters typically assign lower credit ratings when these foreign firms issue bonds in their home currencies? We find that bonds rated by a global agency decreased yields 11‐14 basis points (bps) when compared to those rated by Japanese rating agencies but, during the 2007‐2009 financial crisis, the yields on these Japanese bonds increased 12‐17 bps, thus fully negating the advantage of obtaining a bond rating from a global rater. This suggests that the reputation of global rating agencies declined during the 2007‐2009 crisis period.     

债券评级机构变更——基于评级选购与评级迎合视角

本文以2008年至2017年的公司债券为样本,研究了发行人变更评级机构的影响,以此来解释评级市场上发行人频繁变更评级机构的现象。本文发现发行人变更评级机构后,其信用等级得到显著提升。发行人变更评级机构的行为对信用等级的影响在以下两种情形中更显著:一是当发行人所处行业或评级机构所在的评级市场竞争激烈时;二是当发行人主体评级位于AA信用等级的临界点时。进一步研究发现,考虑到评级机构变更与信用等级之间的交互影响,变更评级机构的发行人整体上可实现发债成本的降低。但该类发行人未来的违约风险增加、经营业绩下降。最后,本文发现债券发行规模较大以及非国有发行人更倾向于变更评级机构来提高信用等级。本文通过分析发行人更换信用评级机构的动机和后果,为监管部门构建以评级质量为导向的良性竞争环境提供借鉴参考。     

The impact of narrative disclosure readability on bond ratings and the cost of debt

Prior research on the determinants of credit ratings has focused on rating agencies’ use of quantitative accounting information, but the there is scant evidence on the impact of textual attributes. This study examines the impact of financial disclosure narrative on bond market outcomes. We find that less readable financial disclosures are associated with less favorable ratings, greater bond rating agency disagreement, and a higher cost of debt. We improve causal identification by exploiting the 1998 Plain English Mandate, which required a subset of firms to exogenously improve the readability of their filings. Using a difference-in-differences design, we find that the firms required to improve the readability of their filings experience more favorable ratings, lower bond rating disagreement, and lower cost of debt. Collectively, our evidence suggests that textual financial disclosure attributes appear to not only influence bond market intermediaries’ opinions but also firms’ cost of debt.     

A Comparison of Bond Ratings from Moody's S&P and Fitch IBCA

Previous research has found that the bond market values the ratings of Moody's and Standard & Poor's. This paper extends earlier research by comparing the ratings of Moody's, Standard and Poor's, and Fitch IBCA. The authors examine a very large database with monthly observations of bonds and bond ratings over a five‐year time period. The analysis focuses on comparing rating levels, rating changes, and the impact of ratings on bond yields. The results show that firms with publicly available Fitch IBCA ratings have higher ratings from Moody's and S&P than firms without Fitch IBCA ratings. The typical firm releasing a Fitch IBCA rating has a lower yield (controlling for Moody's and S&P rating), a more stable rating, and is more likely to receive an upgrade. For split‐rated bonds (Moody's vs. S&P), Fitch IBCA serves as a tiebreaker. This evidence is consistent with the bond market valuing the ratings of all three raters—Moody's, Standard & Poor's, and Fitch IBCA.     

信用评级变动能反映企业真实财务信息吗?——基于财务重述的视角

本文以2007-2018年拥有主体信用评级的A股上市公司为研究对象,利用企业财务错报在未来被重述这一场景,检验主体信用评级变动能否反映企业真实财务信息。研究发现,评级机构在发债企业财务错报年显著下调了主体信用评级,而在重述公告发布年没有上述现象,这表明主体信用评级下调反映了企业的真实财务信息。在控制内生性影响后,结论仍然成立。进一步研究发现,发债企业当期财务错报涉及盈余时,主体信用评级被下调的幅度更大,说明评级机构更加关注与盈余相关的财务信息。机制分析表明,评级机构维护自身声誉是主体信用评级变动能够反映企业真实财务信息的主要机制。此外,主体信用评级被下调还导致了资本市场投资者的负面反应。本文的研究结果为主体信用评级变动反映企业真实财务信息提供了直接的证据支持,揭示了主体信用评级的信息含量,也对理解中国情境下评级机构调整主体信用评级的行为动机提供参考。     

金融中介机构竞争的市场反应--来自信用评级机构的证据北大核心

目前已有研究认为金融中介机构竞争会带来市场效率的提高,本文利用2012-2017年债券市场的微观数据研究“发行人付费”模式评级机构之间的竞争对评级结果的影响。研究发现,评级机构竞争会导致评级结果膨胀与评级质量下降。进一步研究发现,当评级竞争加剧时,“发行人付费”模式的评级机构会对有较多业务联系的企业放松评级标准,给予更高信用评级。我们的研究也发现评级机构的外资背景、承销商的良好声誉和媒体关注均有助于减小“发行人付费”模式下评级机构竞争的负面影响。同时,债券市场评级竞争还存在对股票市场的溢出效应,评级竞争导致的评级质量下降也降低了股票市场的信息效率。这说明,“发行人付费”模式下的评级机构竞争会降低资本市场的信息效率,“投资者付费”模式的推广和评级行业的对外开放有助于改善国内评级行业的评级质量。本文的研究也为国内债券市场进一步发挥双评级、多评级以及不同模式评级的交叉验证作用提供了一定证据支持。     

The effect of corporate governance on firm’s credit ratings: further evidence using governance score in the United States

We investigate whether corporate governance affects firms’ credit ratings and whether improvement in corporate governance standards is associated with improvement in investment grade rating. We use the Gov‐score of Brown and Caylor (2006) , the Gomper’s G index and an entrenchment score of Bebchuk et al. (2009) to proxy for corporate governance. Using a sample of US firms, we find that firms characterized by stronger corporate governance have a significantly higher credit rating, and that this association is accentuated for smaller firms relative to larger firms. We find that an improvement in corporate governance is associated with improvement in bond rating.     

THE EFFECT OF BOND RATING AGENCIES ON BOND RATING MODELS

This paper addresses the problem of bond rating discrepancies and their effect on bond rating prediction models. Both Moody's and Standard & Poor's now use modified ratings. Results of this study indicate that the two agencies disagree 58 percent of the time and that Moody's rates bonds significantly lower than S & P. In addition, the classification rates of the multiple discriminant analysis models decrease approximately 24 percentage points when the modified ratings are used.     

Political similarities in credit ratings

We investigate whether political similarities between credit rating agencies (CRAs) and bond issuers impact credit rating quality. We find that a higher degree of similarity of political affiliation leads to a decrease in timeliness and accuracy of downgrades prior to default events. Our finding supports the notion that CRAs tend to maintain/assign preferential ratings to politically similar firms via delaying negative signals as favourable rating activities. We further show that these politically similar firms tend to increase the proportion of donations to their favoured party following favourable credit ratings. Interestingly, this result is confined to Republican-leaning firms. The results indicate that CRAs successfully use biased credit ratings as an indirect channel of political party support. Our findings support the political similarities in credit ratings hypothesis.     

“投资人付费”vs.“发行人付费”:谁的信用评级质量更高？

本文选择2011-2015年被中债资信覆盖的发债A股上市公司作为主要研究对象,比较了“投资人付费”与“发行人付费”模式下的评级质量高低。研究发现:(1)与“发行人付费”评级相比,采用“投资人付费”模式的中债资信所作评级显著更低。(2)与“发行人付费”评级相比,当采用“投资人付费”模式的中债资信所作评级越低时,发行人未来盈利能力越差、预期违约风险越高,投资者要求的风险补偿也越高,这表明“投资人付费”模式下的信用评级质量更高。(3)“发行人付费”模式的评级结果可以在一定程度上反映公司的内部私有信息,但由于同时存在独立性缺失问题,“发行人付费”模式的信用评级质量仍然不如“投资人付费”模式的信用评级质量,这说明独立性对于评级机构尤其重要。     

APRA's Expert Judgment Ratings and Solvency Cover of Australian General Insurers

The Australian Prudential Regulation Authority's (APRA's) supervisors use expert judgment to rate the risk of failure of general insurers (GIs). Using statistical data, we model the determinants of GI ratings and solvency cover and find: (1) sufficient predictive power in statistical data to identify GIs for earlier review and assist in quality assurance of APRA's ratings and (2) that profitability, solvency cover, investment, and underwriting risk play different roles in rating foreign branch and Australian-incorporated GIs. We conclude that supervisors generally correctly incorporate our a priori expectations of the effects of risk indicators on GI risk into their ratings.