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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

Visualization of time series data

With an increase in software, there is also the option to use fancy charts to visualize data, while creating a better understanding of the underlying story. However, some charts don't work as well with time series data. The line chart is the one that works best for almost all business cases. Let's explore the case of the growth over lending in the last three years:

Figure 2.3: Visualization of time series

All of the six charts are trying to tell the same story. The bank has seen lending grow from £2.35 billion to £2.84 billion between 2015 and 2017. However, some of the charts are much better placed to tell the story. The best placed is the line chart, which depicts the time on the x-axis and the value of lending on the y-axis. As we read the chart, it becomes apparent that the line shows a growth in lending. The bar chart...

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