Developing credit risk models using SAS Enterprise Miner and SAS/STAT theory and applications

This book combines both theoretical explanation and practical applications to demonstrate how you can build credit risk models using SAS Enterprise Miner and SAS/STAT and apply them into practice. Brown breaks down the required modeling steps and details how this would be achieved through the implem...

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Bibliographic Details
Main Author: Brown, Iain L. J.
Format: eBook
Language:English
Published: Cary, NC SAS Institute 2014
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:This book combines both theoretical explanation and practical applications to demonstrate how you can build credit risk models using SAS Enterprise Miner and SAS/STAT and apply them into practice. Brown breaks down the required modeling steps and details how this would be achieved through the implementation of SAS Enterprise Miner and SAS/STAT. Users will solve real-world risk problems as well as comprehensively walk through model development while addressing key concepts in credit risk modeling. The book is aimed at credit risk analysts in retail banking, but its applications apply to risk modeling outside of the retail banking sphere. Those who would benefit from this book include credit risk analysts and managers alike, as well as analysts working in fraud, Basel compliancy, and marketing analytics. It is targeted for intermediate users with a specific business focus and some programming background is required. --
Item Description:Includes index
Physical Description:1 online resource illustrations
ISBN:9781629594866
1629594881
1629594865
1612906915
1629594873
9781629594873
9781629594880