Free Download Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS (Wiley and SAS Business Series)
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Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS (Wiley and SAS Business Series)
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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.
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Product details
Series: Wiley and SAS Business Series
Hardcover: 512 pages
Publisher: Wiley; 1 edition (October 3, 2016)
Language: English
ISBN-10: 1119143985
ISBN-13: 978-1119143987
Product Dimensions:
7.3 x 1.3 x 9.4 inches
Shipping Weight: 2.2 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
11 customer reviews
Amazon Best Sellers Rank:
#438,046 in Books (See Top 100 in Books)
I consider this book to be very insightful in credit risk analytics, especially if you utilize SAS, although it is not necessary, the topics and content can be used by anyone involved with credit risk management. I recommend this book to all credit risk analysts.
This is a perfect book for person who works with statistical models. It describes theory as well as applied programs which permit to understand in a good way how the machine works. Explanations are clear and understandable by both experts of the sector (with link to research papers) and beginner.Charts and images permit to comprehend how SAS Enterprise Miner nodes work, with their complete results.Programs include good explanation and "step-by-step" comments which permit to be driven through the logic.
A very good book with program examples.
interesting for students like me who want to develop their skills in credit risk using SAS Software
Very good book.
This book really helped me in implementing the models
Very useful for my work. I think modeler need this
Muy bueno
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