Credit Risk Analytics
Measurement Techniques, Applications, and Examples in SAS
By Bart Baesens, Daniel Roesch, Harald Scheule | Publisher: Wiley
About the book
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.
Editions of Credit Risk Analytics
- Hardcover
- ISBN 9781119143987
- EBook
- ISBN 9781119278344
- EBook
- ISBN 9781119449560
- EBook
- ISBN 9781119278283
Read an Excerpt
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.
Frequently Asked Questions
What is Credit Risk Analytics about?
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.
What core themes, tropes, or subjects are explored in Credit Risk Analytics?
Economics, Finance, Business and Management > Finance and accounting > Finance and the finance industry
Where can I read a sample of Credit Risk Analytics?
You can read an official preview of the few pages here https://www.book2look.com/book/9781119143987
Is Credit Risk Analytics part of a series, and can it be read as a standalone?
Yes it is a part of series Wiley and SAS Business Series
Who is/are the Author/s of the book Credit Risk Analytics?
Bart Baesens, Daniel Roesch, Harald Scheule
Who is the Publisher of the book Credit Risk Analytics?
Wiley
What are the ISBN numbers for the physical and digital editions?
Credit Risk Analytics is available as hardcover(ISBN 9781119143987) and ebook(ISBN 9781119278344) and ebook(ISBN 9781119449560) and ebook(ISBN 9781119278283)
Where can I buy Credit Risk Analytics online or support local independent bookshops?
You can buy Credit Risk Analytics from below
Where can I buy Credit Risk Analytics?