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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 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

Markovian model approach

Even though we have three types of account, the classic, premier, and the platinum, it doesn't mean that we are only going to have nine transition types possible as in Figure 4.1. There are customers who will upgrade, but also others who may downgrade. There could also be some customers who leave the bank and at the same time there will be a constant inflow of new customers. Let's evaluate the transition states flow for our business problem:

Figure 4.2: Transition flow of customers across account types

In Figure 4.2, we haven't jotted down the transition probability between each state. We can try to do this by looking at the historical customer movements, to arrive at the transitional probability. Be aware that most business managers would prefer to use their instincts while assigning transitional probabilities. They may achieve some merit...

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