Credit Risk Analytics - Daniel Rösch - Books - Createspace Independent Publishing Platf - 9781977760869 - November 23, 2017
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Daniel Rösch
Credit Risk Analytics

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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 www.creditriskanalytics.net, 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, Applications, and Examples in SAS. John Wiley & Sons.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 23, 2017
ISBN13 9781977760869
Publishers Createspace Independent Publishing Platf
Pages 264
Dimensions 191 × 235 × 14 mm   ·   458 g
Language English  

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