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Averaging forecasts from VARs with uncertain instabilities

✍ Scribed by Todd E. Clark; Michael W. McCracken


Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
171 KB
Volume
25
Category
Article
ISSN
0883-7252

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✦ Synopsis


Abstract

Recent work suggests VAR models of output, inflation, and interest rates may be prone to instabilities. In the face of such instabilities, a variety of estimation or forecasting methods might be used to improve the accuracy of forecasts from a VAR. The uncertainty inherent in any single representation of instability could mean that combining forecasts from a range of approaches will improve forecast accuracy. Focusing on models of US output, prices, and interest rates, this paper examines the effectiveness of combining various models of instability in improving VAR forecasts made with real‐time data. Copyright © 2009 John Wiley & Sons, Ltd.


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## Abstract Recursive‐weight forecast combination is often found to an ineffective method of improving point forecast accuracy in the presence of uncertain instabilities. We examine the effectiveness of this strategy for forecast densities using (many) vector autoregressive (VAR) and autoregressive