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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

A portfolio demands decisions

A company that decides to invest all of its money in fixed deposits, rather than in government bonds, will have more decisions to make. At some point in time, the cash flow of the company will increase or decrease. If it increases, there might be further investment decisions, and a need to decide between various investment choices. Again, the easiest choice would be to go for the option that offers the highest rate of return. But what about putting all of your eggs in one basket? Shouldn't the company think about the need to diversify? Is the option of fixed deposits as attractive as last time? Interest rates might have moved, or the fixed term on offer could be different. And what about using the funds to expand, rather than investing? Suppose that this tranche of funds available for investment is expected to be invested for a longer time period...

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