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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

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788624565

Length 306 pages

Edition 1st Edition

Tools

SAS

Concepts

Data Analysis

Author (1):

Harish Gulati

View More author details

Table of Contents (9) Chapters

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

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Summary

In this chapter, we explored aspects of portfolio forecasting, steps in the forecasting process, tips for the visualization of time series data, and model building for a business case. Both regression and ARIMA models were used, and we compared the results of the model by using a validation sample. In the next chapter, we will discuss risk modeling.

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Authors (1)

Gulati

Gulati

Shekhar Gulati is a developer and OpenShift evangelist working with Red Hat. He has been evangelizing about OpenShift for the last 2 years. He regularly speaks at various conferences and user groups around the world to spread the goodness of OpenShift. He regularly blogs on the OpenShift official blog and has written more than 50 blogs on OpenShift. Shekhar has also written many technical articles for IBM developerWorks, Developer.com, and Javalobby.

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