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This paper discusses the role of internal corporate ratings as a means by which commercial banks condense their informational advantage and preserve it vis-à-vis a competitive lending market. In drawing on a unique data set collected from leading universal banks in Germany, we are able to evaluate the extent to which non-public information determines corporate ratings. As a point of departure, the paper describes a sample of rating systems currently in use, and points at methodological differences between them. Relying on a probit analysis, we are able to show that the set of qualitative, or soft, factors is not simply redundant with respect to publicly available accounting data. Rather, qualitative information tends to be decisive in at least one third of cases. It tends to improve the firms' overall corporate rating. In the case of conflicting rating changes, i.e. when qualitative and quantitative rating changes have opposing signs, quantitative criteria dominate the overall rating change. Furthermore, the more restrictive the weighting scheme as part of the rating methodology is, the stronger is the impact of qualitative information on the firms' overall rating. The implications of our results underline the need to define stringent rating standards, from both a risk management and a regulatory point of view. Revised edition published in: ZEW Wirtschaftsanalysen 2001, Bd 54, Baden-Baden, Nomos
Bank internal ratings of corporate clients are intended to quantify the expected likelihood of future borrower defaults. This paper develops a comprehensive framework for evaluating the quality of standard rating systems. We suggest a number of principles that ought to be met by 'good rating practice'. These 'generally accepted rating principles' are potentially relevant for the improvement of existing rating systems. They are also relevant for the development of certification standards for internal rating systems, as currently discussed in a consultative paper issued by the Bank for International Settlement in Basle, entitled 'A new capital adequacy framework'. We would very much appreciate any comments by readers that help to develop these rating standards further. Simply send us an E-mail, or give us a call.
In this study the firms' choice of the number of bank relationships is analyzed with respect to influential factors like borrower quality, size and the existence of a close housebank relationship. Then, the number of bank relationships is used as a proxy to examine if bank competition is reflected in loan terms. It is shown that the number of bank relationships is foremost determined by borrower size and the existence of a housebank relationship. Loan rate spreads are not effected by the number of bank relationships. However, borrowers with a small number of bank relationships provide more collateral and get more credit. These effects are amplified by a housebank relationship. Housebanks get more collateral and are ready to take a larger stake in the financing of their customers.