000 02973aam a2200241 4500
008 171013b2016 xxu||||| |||| 00| 0 eng d
020 _a9788126567027
082 _a332.102855
100 _aBaesens, Bart
245 _aCredit risk analytics: measurement techniques, applications, and examples in SAS
_cBaesens, Bart
260 _bWiley
_aNew Delhi
300 _axiv, 498 p.
440 _aWiley & SAS Business Series
520 _aThe long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process. http://as.wiley.com/WileyCDA/WileyTitle/productCd-1119143985.html
650 _aRisk management - data processing
650 _aBusiness and economics - Finance
650 _aSAS - Computer file
650 _aBank loans - data processing
650 _aCredit - Management - data processing
700 _aRoesch, Daniel
700 _aScheule, Harald
942 _2ddc
999 _c207235