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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

Forecasting Stock Prices and Portfolio Decisions using Time Series

I wish I had put more money into this stock. I should have trusted my technical analysis. I need to trust my broker. My gut feeling told me I should have cut my losses. Aren't these all statements that we have heard individuals involved in stock markets say at some point?

With a stock price, you can instantly see the impact of getting forecast right or wrong. It pays to be right. But if it were so simple, anyone could forecast the closing price of a blue-chip share and make millions. Maybe if it were so simple, there wouldn't be anything to distinguish investors, and the returns for everyone investing would be smaller, as the winning prize would be split across millions of investors. The ability to make the right call on investment decisions is what differentiates successful and unsuccessful investors...

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