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Credit Risk Analytics: The R Companion

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Credit Risk Analytics: The R Companion - Rosch, Daniel, and Baesens, Bart, and Scheule, Harald
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Credit risk analytics in R will enable you to build credit risk models from start to finish. Accessing real credit data via the accompanying website ... you will master a wide range of applications, including building your own PD, LGD and EAD models as well as mastering industry challenges such as reject inference, low default portfolio risk modeling, model validation and stress testing. This book has been written as a companion to Baesens, B., Roesch, D. and Scheule, H., 2016. Credit Risk Analytics: Measurement Techniques, ...

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Credit Risk Analytics: The R Companion 2017, Createspace Independent Publishing Platform

ISBN-13: 9781977760869

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