SAS | The Power to Know
cq5dam.thumbnail.319.319
White Paper

An Alternative Method for Vintage Forecasting Using SAS®

About this paper

The ability to anticipate, track and control behavior of a group of accounts established during the same time period (i.e. "vintage") underpins marketing activity and risk management policy at financial institutions. This paper presents a technique that treats the components of the vintage as a set of predictions and forecasts from a cross-vintage data stream. This methodology includes a variety of analytical techniques, including time series analysis, dynamic segmentation and clustering, vintage "profiling" and forecast reconciliation. An integrated approach to vintage curve modeling unifies internal bank drivers, external economic factors and past performance into one cohesive strategy – free from internal biases and more closely aligned with market reality. This methodology can serve to provide critical insight that supplements an institution's sales and operations planning process.

About SAS

SAS helps 80,000 organisations around the world take their data… And do amazing things… We help organisations turn large amounts of data into knowledge they can use, and we do it better than anyone. It’s no wonder an overwhelming majority of customers continue to use SAS year after year. Find out more, Why SAS?

 

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
*
*
 
 

Back to Top