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SAS for Finance

SAS for Finance : Forecasting and Data Analysis Techniques
with Real-world Examples to Build Powerful Financial Models

by Harish Gulati
English | 2018 | ISBN: 1788624564 | 299 Pages | PDF/ePUB | 7.16/5.8 MB

SAS for Finance

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SAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data.

SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues.

This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs.

By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data.

What you will learn:

Understand time series data and its relevance in the financial industry
Build a time series forecasting model in SAS using advanced modeling theories
Develop models in SAS and infer using regression and Markov chains
Forecast inflation by building an econometric model in SAS for your financial planning
Manage customer loyalty by creating a survival model in SAS using various groupings
Understand similarity analysis and clustering in SAS using time series data

Financial data analysts and data scientists who want to use SAS to process and analyze financial data and find hidden patterns and trends from it will find this book useful. Prior exposure to SAS will be helpful but is not mandatory. Some basic understanding of the financial concepts is required.

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