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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

Segmentation modeling

When Prof Cox got the data, she realized that it contained details of both past and current customers. She decided to get rid of the past customers. Vogue shouldn't be so keen on spending their energy on seeing how segments have evolved over time. She remembered her early days at the company, where the simple mantra was to get almost any client no matter what their profile was. As long as they had money to invest and passed the regulatory requirement checks, Vogue was more than happy to take them on board. Yes, the trio might be interested in seeing the segmentation comparison over time, but then their immediate task as she understood it was to present the current profiling to the board and their team to draw up a marketing strategy. She ran some descriptive statistics on the data and she found that there were a few outliers. These outliers were clients...

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