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SAS for Finance

You're reading from   SAS for Finance Forecasting and data analysis techniques with real-world examples to build powerful financial models

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788624565
Length 306 pages
Edition 1st Edition
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Author (1):
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Harish Gulati Harish Gulati
Author Profile Icon Harish Gulati
Harish Gulati
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Toc

Table of Contents (9) Chapters Close

Preface 1. Time Series Modeling in the Financial Industry 2. Forecasting Stock Prices and Portfolio Decisions using Time Series FREE CHAPTER 3. Credit Risk Management 4. Budget and Demand Forecasting 5. Inflation Forecasting for Financial Planning 6. Managing Customer Loyalty Using Time Series Data 7. Transforming Time Series – Market Basket and Clustering 8. Other Books You May Enjoy

PD model build

While a chapter cannot do justice to the whole credit risk modeling process, we will try to incorporate multiple approaches to model building. Let's start with exploring our data for the mortgage book of a retail bank.

The concept of link, customer, and account is something that most individuals dealing with credit risk modeling will become acquainted with. These concepts can be named differently in organizations, but the relationship remains similar. Individual customers may come together to form a relationship. The variable representing such relationships has been called a link in Figure 3.1. Each customer is also expected to have various lending needs. In the case of mortgages, these lending needs may be mortgage terms across various years, varying interest rates, differing loan to values (LTVs), and so on. Each of these combinations of needs may exist as...

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