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SAS for Finance - Forecasting and data analysis techniques with real-world examples to build powerful financial models (Paperback)
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SAS for Finance - Forecasting and data analysis techniques with real-world examples to build powerful financial models (Paperback)
Expected to ship within 10 - 15 working days
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Leverage the analytical power of SAS to perform financial analysis
efficiently Key Features Leverage the power of SAS to analyze
financial data with ease Find hidden patterns in your data, predict
future trends, and optimize risk management Learn why leading banks
and financial institutions rely on SAS for financial analysis Book
DescriptionSAS 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 Who this book is forFinancial 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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