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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

Business case for forecasting inflation

A leading bank depended heavily on the central bank's monthly inflation report for various aspects of business planning. The in-house economic team provided a directional statement on whether inflation was expected to increase, decrease, or remain stable. This directional statement preceded the official government numbers by a week. The forecasted direction and lack of information on the expected quantum of change was something that suited the bank in the economic scenario when inflation was stable. Recently, however, the inflation rate has been fluctuating a lot and the bank was keen to have high-quality forecasts of the inflation rate as soon as possible.

The bank had a leading presence in the wholesale and retail market in the country. Some of the management was of the opinion that it would be prudent to assume that their customer...

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