Credit Risk Analytics

Credit Risk Analytics

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The 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.k 316 CREDIT RISK ANALYTICS Fixed versus Variable Outstanding The EAD is deterministic for some loans (e.g., many corporate bonds) and variable for others. Within the loans with ... Credit lines (e.g., credit card loans) generally have a limit and a drawn amount. The borrower can ... The idea here is to redraw k already- made principal payments on a separate account with the value of the house less the primary mortgage being used as collateral to determine the limit. Other k homeanbsp;...


Title:Credit Risk Analytics
Author: Bart Baesens, Daniel Roesch, Harald Scheule
Publisher:John Wiley & Sons - 2016-10-03
ISBN-13:

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