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.
We hope you love the products we recommend! All of products are independently selected by deal-dx editors. Just to let you know, deal-dx may collect a share of sales or other compensation from the links on this page if you decide to shop from them. As an Amazon Associate we earn from qualifying purchases. Prices are accurate and items in stock as of time of publication.
This website uses cookies for the correct display and functionality. Do you also want to take full advantage of the website and accept cookies? About cookies. Accept cookies
