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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

Portfolio forecasting

The use of forecasting, and, in particular, using time series forecasting, goes beyond the scope of a few stocks. Hence, in this chapter, we will also cover the forecasting of portfolios. A portfolio can be defined as simply a range of investments held by a person or organization. An individual may have multiple stocks. Thus, the need to look at the scenarios where investment in a single stock needs to be assessed against holdings in other stocks. Certainly, there must also be other investment instruments that a person can hold. What about gold, bonds, real estate, and the now in vogue cryptocurrencies, such as Bitcoin?

Most organizations deal with multiple items in a portfolio. These items are usually spread across asset and liability classes. The portfolio usually isn't compiled in a day. It evolves over a period of time, and there are entrants and...

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