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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 2. Forecasting Stock Prices and Portfolio Decisions using Time Series FREE CHAPTER 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

Budget and Demand Forecasting

Budget and demand forecasting are important aspects of any finance team. Budget forecasting is the outcome, and demand forecasting is one of its components. Contrary to popular belief, the finance team cannot make demand forecasting decisions without consulting various other teams. The marketing team may need to be involved to figure out the impact of a brand-new commercial series on potential sales in the next 12 months. This needs to be an input in demand forecasting to calculate revenue. The risk management team needs to be consulted to calculate the impact of risk modeling on capital provision requirements. This needs to be an input in budget estimation. These examples are more apt for a mid-range or larger organization. New customers joining and churn in an organization are aspects that also impact small organizations. This would impact budget...

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