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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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Table of Contents (9) Chapters Close

Preface 1. Time Series Modeling in the Financial Industry FREE CHAPTER 2. Forecasting Stock Prices and Portfolio Decisions using Time Series 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

Transforming Time Series – Market Basket and Clustering

In the first chapter, we defined time series and spoke about their merits. In this chapter, we will expand our understanding of time series data and whether it can be transformed to extract more insights by conducting a couple of other analysis methodologies not yet introduced in this book. We will leverage market basket analysis and segmentation using clustering to solve business problems. Both methodologies help generate insights from products and services that customers have bought.

We will be covering the following topics:

  • The role of market basket analysis and segmentation via clustering
  • A market basket business problem, data preparation, assumptions, and analysis
  • A segmentation business problem
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