Rating agencies report ordinal ratings in discrete classes . We question the market's implicit assumption that agencies define their classe s on identical scales, e.g., that AAA by Standard & Poor's is equivalent to Aaa by Moody's. To this end, we develop a non-parametric method to estimate the...

Rating agencies report ordinal ratings in discrete classes . We question the market's implicit assumption that agencies define their classe s on identical scales, e.g., that AAA by Standard & Poor's is equivalent to Aaa by Moody's. To this end, we develop a non-parametric method to estimate the...

Rating agencies report ordinal ratings in discrete classes. We question the market's implicit assumption that agencies define their classes on identical scales, e.g., that AAA by Standard & Poor's is equivalent to Aaa by Moody's. To this end, we develop a non-parametric method to estimate the...

Crypto-currencies have developed a vibrant market since bitcoin, the rst crypto-currency, was created in 2009. We look at the properties of cryptocurrencies as financial assets in a broad cross-section. We discuss approaches of altcoins to generate value and their trading and information...

In this study, we empirically analyze the determinants of heterogeneity in rating assessments across different segments of the European loan market. We conduct a benchmarking analysis using rating information on European corporate obligors from nine major Austrian banks that have a large share...

In this paper we analyse two common measures of discriminatory power - the Accuracy Ratio and the Area Under the Receiver Operator Characteristic - in a probabilistic framework. Under the assumption of a random default event, we verify that the measures will be portfolio dependent as discovered...

The validation of credit rating systems has recently attracted particular interest both from banks and their supervisors as well as from academic research. Whereas the main interest has been focused on backtesting methods, alternative approaches such as benchmarking are of growing importance....

We suggest a new framework for the use of multi-rater information in the validation of credit rating systems, applicable in any validation process where rating information from different sources is available. As our validation framework does not rely on historical default information it appears...