Combining forecast densities from VARs with uncertain instabilities
Jore, Anne Sofie, Mitchell, James and Vahey, Shaun P.. (2010) Combining forecast densities from VARs with uncertain instabilities. Journal of Applied Econometrics, Vol.25 (No.4). pp. 621-634. ISSN 0883-7252Full text not available from this repository.
Official URL: http://dx.doi.org/10.1002/jae.1162
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 (AR) models of output growth, inflation and interest rates. Our proposed recursive-weight density combination strategy, based on the recursive logarithmic score of the forecast densities, produces well-calibrated predictive densities for US real-time data by giving substantial weight to models that allow for structural breaks. In contrast, equal-weight combinations produce poorly calibrated forecast densities for Great Moderation data. Copyright © 2010 John Wiley & Sons, Ltd.
|Item Type:||Journal Article|
|Divisions:||Faculty of Social Sciences > Warwick Business School > Global Energy
Faculty of Social Sciences > Warwick Business School
|Journal or Publication Title:||Journal of Applied Econometrics|
|Publisher:||Wiley-Blackwell Publishing, Inc|
|Page Range:||pp. 621-634|
|Access rights to Published version:||Restricted or Subscription Access|
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