May 2018
Intermediate to advanced
306 pages
7h 11m
English
Overview
SAS for Finance introduces readers to utilizing SAS software for robust financial data analysis and model construction. Through hands-on examples and industry-focused techniques, this book demonstrates how to harness the power of SAS to develop effective analytical models, allowing you to uncover deeper insights and facilitate data-informed decision-making.
What this Book will help me do
- Master the fundamentals of financial time series analysis using SAS effectively.
- Develop advanced forecasting models utilizing econometric techniques with SAS.
- Use clustering and similarity analysis in SAS to understand customer behavior.
- Create and interpret survival models for customer loyalty analysis.
- Gain proficiency in financial risk assessment using SAS for diversified applications.
Author(s)
None Gulati brings years of expertise in financial analytics and technical instruction to this publication. With a rich background in leveraging statistical software, the author has guided financial analysts and data scientists in building data models that solve real-world challenges. Known for practical insights, None's approach makes advanced concepts accessible and actionable.
Who is it for?
This book is tailored for financial analysts and data scientists aspiring to enhance their analytical capabilities with SAS. While prior familiarity with SAS software provides an advantage, beginners can also find value, provided they have a foundational understanding of finance. Ideal for professionals aiming to model data, forecast trends, and derive actionable insights in the financial domain.
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