Evaluating the Forecasts of Risk Models
Board of Governors of the Federal Reserve System, Finance and Economics Discussion Series No. 99-11
33 Pages Posted: 9 Apr 1999
Date Written: March 16, 1999
The forecast evaluation literature has traditionally focused on methods for assessing point-forecasts. However, in the context of risk models, interest centers on more than just a single point of the forecast distribution. For example, value-at-risk (VaR) models which are currently in extremely wide use form interval forecasts. Many other important financial calculations also involve estimates not summarized by a point-forecast. Although some techniques are currently available for assessing interval and density forecasts, none are suitable for sample sizes typically available. This paper suggests an new approach to evaluating such forecasts. It requires evaluation of the entire forecast distribution, rather than a value-at-risk quantity. The information content of forecast distributions combined with ex post loss realizations is enough to construct a powerful test even with sample sizes as small as 100.
JEL Classification: G10, C52
Suggested Citation: Suggested Citation