Book Image

SAS for Finance

By : Harish Gulati
Book Image

SAS for Finance

By: Harish Gulati

Overview of this book

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.
Table of Contents (9 chapters)

Market basket analysis

Remember, a successful analyst must not be guided by the methodology but instead think about the business problem, and only thereafter about the methodology that could provide the answers. Most practitioners of analysis/modeling think of the time series methodology as one where the final modeling dataset has a variable with a date or date-time stamp. But there could be other instances where time-stamped data might be transformed to conduct an analysis. Remember, transforming does not mean that the time element isn't important to the analysis methodology or insights generated. We will use this transformation for both market basket analysis (MBA) and clustering in this chapter. Let's look at data transformation in MBA to provide some context.

MBA's goal is to find common purchase items across customer's basket. It is also at times referred...