Are Credit Ratings More Rigorous for Widely Covered Firms?

2018 ◽  
Vol 93 (6) ◽  
pp. 61-94 ◽  
Author(s):  
Samuel B. Bonsall ◽  
Jeremiah R. Green ◽  
Karl A. Muller

ABSTRACT We study how business press coverage can discipline credit rating agency actions. Because of their greater prominence and visibility to market participants, more widely covered firms can pose greater reputational costs for rating agencies. Consistent with rating agencies limiting such risk, we find that ratings for more widely covered firms are more timely and accurate, downgraded earlier and systematically lower in the year prior to default, and better predictors of default and non-default. We also find that the recent tightening of credit rating standards is largely explained by growing business press coverage of public debt issuers. Additionally, we find that credit rating agencies take explicit actions to improve their ratings by assigning better educated and more experienced analysts to widely covered firms. Moreover, we document that missed defaults of more visible firms create greater negative economic consequences for rating agencies, and that rating improvements following the financial crisis were greater for more visible firms. Data Availability: All data are publicly available from the sources identified in the text.

2014 ◽  
Vol 89 (4) ◽  
pp. 1399-1420 ◽  
Author(s):  
S. Jane Jollineau ◽  
Lloyd J. Tanlu ◽  
Amanda Winn

ABSTRACT: Regulators and the financial press have criticized credit rating agencies (CRAs) for exacerbating the financial crisis by providing overly optimistic debt ratings. Allegedly, CRAs departed from their quantitative models in order to please security issuers with higher credit ratings. In response, the Dodd-Frank Act of 2010 required the Securities and Exchange Commission to conduct a study on alternative models for compensating CRAs. We conduct an experiment exploring how the credit ratings of M.B.A. students, who assume the role of credit rating analysts, are affected by two proposals for reform: (1) changing who pays the CRAs, and (2) requiring analysts to justify departures from a quantitative model. We find that credit ratings are highest when the borrower pays CRAs for ratings and a justification requirement is not in place. Implementing either proposed reform independently reduces credit ratings, but credit ratings are not further reduced when both reforms are implemented together. Data Availability: Data are available from the authors upon request.


Author(s):  
Eborall Charlotte

This chapter concentrates on credit rating agencies (CRAs), which play a key role in financial markets. It explains how CRAs help reduce information asymmetry between investors and issuers by providing an independent assessment of the relative creditworthiness of countries or companies. It also describes how CRA's role has expanded significantly in recent decades with financial globalization, such as the introduction of references to credit ratings in regulations and the embedding by market participants of ratings in their operating procedures, investment decisions, and contracts. This chapter identifies the heavy reliance on CRAs as one of the main contributors to the global financial crisis in 2008. It also talks about the efficacy of CRAs' credit ratings after 2008, in which regulators in the United States (US) and Europe introduced new regulations intended to address the reliability of CRAs' predictions of probability of default.


2016 ◽  
Vol 17 (2) ◽  
pp. 194-217 ◽  
Author(s):  
Michael Jacobs Jr ◽  
Ahmet K. Karagozoglu ◽  
Dina Naples Layish

Purpose This research aims to model the relationship between the credit risk signals in the credit default swap (CDS) market and agency credit ratings, and determines the factors that help explain the variation in such signals. Design/methodology/approach A comprehensive analysis of the differences in the relative credit risk assessments of CDS-based risk signals and agency ratings is provided. It is shown that the divergence between credit risk signals in the CDS market and agency ratings is explained by factors which the rating agencies may consider differently than credit market participants. Findings The results suggest that agency credit ratings of relative riskiness of a reference entity do not always correspond with assessments by CDS spreads, as the price of risk is a function of additional macro and micro factors that can be explained using statistical analysis. Originality/value This research is unique in modeling the relationship between the credit risk assessments of the CDS market and the agency ratings, which to the best of the authors' knowledge has not been analyzed before in terms of their agreement and the level of discrepancy between them. This model can be used by investors in debt instruments that are not explicitly CDSs or which have illiquid CDS contracts, to replicate market-based, point-in-time credit risk signals. Based on both market-based and firm-specific factors in this model, the results can be used to augment through-the-cycle credit risk assessments, analyze issues surrounding the pricing of CDSs and examine the policies of credit rating agencies.


2019 ◽  
Vol 20 (5) ◽  
pp. 389-410
Author(s):  
Kerstin Lopatta ◽  
Magdalena Tchikov ◽  
Finn Marten Körner

Purpose A credit rating, as a single indicator on one consistent scale, is designed as an objective and comparable measure within a credit rating agency (CRA). While research focuses mainly on the comparability of ratings between agencies, this paper additionally questions empirically how CRAs meet their promise of providing a consistent assessment of credit risk for issuers within and between market segments of the same agency. Design/methodology/approach Exhaustive and robust regression analyses are run to assess the impact of market sectors and rating agencies on credit ratings. The examinations consider the rating level, as well as rating downgrades as a further measure of empirical credit risk. Data stems from a large global sample of Bloomberg ratings from 11 market sectors for the period 2010-2018. Findings The analyses show differing effects of sectors and agencies on issuer ratings and downgrade probabilities. Empirical results on credit ratings and rating downgrades can then be attributed to investment grade and non-investment grade ratings. Originality/value The paper contributes to current finance research and practice by examining the credit rating differences between sectors and agencies and providing assistance to investors and other stakeholders, as well as researchers, how issuers’ sector and rating agency affiliations act as relative metrics.


2017 ◽  
Vol 18 (2) ◽  
pp. 122-144 ◽  
Author(s):  
Florian Kiesel ◽  
Jonathan Spohnholtz

Purpose The creditworthiness of corporates is most visible in credit ratings. This paper aims to present an alternative credit rating measure independently of credit rating agencies. The credit rating score (CRS) is based on the credit default swap (CDS) market trading. Design/methodology/approach A CRS is developed which is a linear function of logarithmized CDS spreads. This new CRS is the first one that is completely independent of the rating agency. The estimated ratings are compared with ratings provided by Fitch Ratings for 310 European and US non-financial corporates. Findings The empirical analysis shows that logarithmized CDS spreads and issuer credit ratings by agencies have a linear relationship. The new CRS provides market participants with an alternative risk assessment, which is solely based on market factors, and does not rely on credit rating analysts. The results indicate that our CRS is able to anticipate agency ratings in advance. Moreover, the analysis shows that the trading volume has only a limited influence in the anticipation of rating changes. Originality/value This study shows a new approach to measure the creditworthiness of firms by analyzing CDS spreads. This is highly relevant for regulation, firm monitoring and investors.


Author(s):  
Natalia Besedovsky

This chapter studies calculative risk-assessment practices in credit rating agencies. It identifies two fundamentally different methodological approaches for producing ratings, which in turn shape the respective conceptions of credit risk. The traditional approach sees ‘risk’ as an only partially calculable and predictable set of hazards that should be avoided or minimized. This approach is particularly evident in the production of country credit ratings and gives rise to ordinal rankings of risk. By contrast, structured finance rating practices conceive of ‘risk’ as both fully calculable and controllable; they construct cardinal measures of risk by assuming that ontological uncertainty does not exist and that models can capture all possible events in a probabilistic manner. This assumption—that uncertainty can be turned into measurable risk—is a necessary precondition for structured finance securities and has become an influential imaginary in financial markets.


2017 ◽  
Author(s):  
Ulrich G. Schroeter

Journal of Applied Research in Accounting and Finance, Vol. 6, No. 1 (2011), pp. 14-30As demonstrated by the market reactions to downgrades of various sovereign credit ratings in 2011, the credit rating agencies occupy an important role in today’s globalized financial markets. This article provides an overview of the central characteristics of credit ratings and discusses risks arising from both their widespread use as market information and from the increasing references to credit ratings contained in laws, legal regulations and private contracts.


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