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)

Forecasting process

The forecasting process, illustrated in the following diagram, represents a typical process flow that can be applied to both time series and other models. There isn't a stage in the process that is more important than others. However, a good understanding of the business problem should be the building block of any modeling process:

Figure 2.2: Forecasting process

Let us walk through the process of forecasting:

  1. Define the business problem and state what the model expects to achieve.
  2. Collect data from various sources and systems and transform it to clean data.
  3. Plot the data, run statistical tests, fit the model, and interpret the results.
  4. Validate the model by using a holdout sample.
  5. Obtain a model sign after it meets the technical and the business requirements. Integrate it into the business process.

Most modelers spend a disproportionate amount of time...