Standard explanatory variables that determine credit ratings do not achieve significant effects in a sample of 100 US non-financial firms in an ordered probit panel estimation. Sample size and selection as well as the distribution of explanatory variables across rating classes may be the cause this problem. Furthermore, we find evidence to suggest that variable coefficients vary over rating classes when analysed with an unordered loogit model. The sample reproduces well-established macroeconomic effects of credit ratings found by Blume et al. (1998) and highlights the influence of the rating agencies’ through-the-cycle approach on rating transitions
Investors traditionally rely on credit ratings to price debt instruments. However, rating agencies a...
In this paper we investigate the ability of a number of different ordered probit models to predict r...
This thesis investigates two aspects of credit risk measurement in the context of Basel 11: The Inte...
Standard explanatory variables that determine credit ratings do not achieve significant effects in a...
The distribution of ratings changes plays a crucial role in many credit risk models. As is well know...
Rating agencies state that they take a rating action only when it is unlikely to be reversed shortly...
This study examines the determinants of the decision of UK non-financial companies to solicit a cred...
We report on the current state and important older findings of empirical studies on corporate credit...
This paper examines the sensitivity of credit ratings to macroeconomic indicators, with a focus on m...
Despite the recognized importance of the bond rating industry, little academic work has been done to...
[EN] The aim of this paper is to identify the in uence degree among the main rating agencies and the...
Surveys on the use of agency credit ratings reveal that some investors believe that rating agencies ...
AbstractCredit rating agency assessments of sovereign risk bear weak statistical association with th...
Surveys on the use of agency credit ratings reveal that some investors believe that rating agencies ...
Investors benefit from measuring and forecasting potential changes in the credit risk of securities....
Investors traditionally rely on credit ratings to price debt instruments. However, rating agencies a...
In this paper we investigate the ability of a number of different ordered probit models to predict r...
This thesis investigates two aspects of credit risk measurement in the context of Basel 11: The Inte...
Standard explanatory variables that determine credit ratings do not achieve significant effects in a...
The distribution of ratings changes plays a crucial role in many credit risk models. As is well know...
Rating agencies state that they take a rating action only when it is unlikely to be reversed shortly...
This study examines the determinants of the decision of UK non-financial companies to solicit a cred...
We report on the current state and important older findings of empirical studies on corporate credit...
This paper examines the sensitivity of credit ratings to macroeconomic indicators, with a focus on m...
Despite the recognized importance of the bond rating industry, little academic work has been done to...
[EN] The aim of this paper is to identify the in uence degree among the main rating agencies and the...
Surveys on the use of agency credit ratings reveal that some investors believe that rating agencies ...
AbstractCredit rating agency assessments of sovereign risk bear weak statistical association with th...
Surveys on the use of agency credit ratings reveal that some investors believe that rating agencies ...
Investors benefit from measuring and forecasting potential changes in the credit risk of securities....
Investors traditionally rely on credit ratings to price debt instruments. However, rating agencies a...
In this paper we investigate the ability of a number of different ordered probit models to predict r...
This thesis investigates two aspects of credit risk measurement in the context of Basel 11: The Inte...