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Measuring the Discriminative Power of Rating Systems

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dc.creator Engelmann, Bernd
dc.creator Hayden, Evelyn
dc.creator Tasche, Dirk
dc.date 2003
dc.date.accessioned 2013-10-16T07:06:31Z
dc.date.available 2013-10-16T07:06:31Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/19726
dc.identifier ppn:391287141
dc.identifier RePEc:zbw:bubdp2:2225
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/19726
dc.description Assessing the discriminative power of rating systems is an important question to banks and to regulators. In this article we analyze the Cumulative Accuracy Profile (CAP) and the Receiver Operating Characteristic (ROC) which are both commonly used in practice. We give a test-theoretic interpretation for the concavity of the CAP and the ROC curve and demonstrate how this observation can be used for more efficiently exploiting the informational contents of accounting ratios. Furthermore, we show that two popular summary statistics of these concepts, namely the Accuracy Ratio and the area under the ROC curve, contain the same information and we analyse the statistical properties of these measures. We show in detail how to identify accounting ratios with high discriminative power, how to calculate confidence intervals for the area below the ROC curve, and how to test if two rating models validated on the same data set are different. All concepts are illustrated by applications to real data.
dc.language eng
dc.relation Discussion Paper, Series 2: Banking and Financial Supervision 2003,01
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject G10
dc.subject C52
dc.subject ddc:330
dc.subject Validation
dc.subject Rating Models
dc.subject Credit Analysis
dc.subject Kreditwürdigkeit
dc.subject Bilanzanalyse
dc.subject Diskriminanzanalyse
dc.subject Statistischer Test
dc.subject Kreditrisiko
dc.subject Validität
dc.title Measuring the Discriminative Power of Rating Systems
dc.type doc-type:workingPaper


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