Forecast uncertainty, disagreement, and the linear pool
Malte Knüppel and
No 28/2019, Discussion Papers from Deutsche Bundesbank
The linear pool is the most popular method for combining density forecasts. We analyze the linear pool's implications concerning forecast uncertainty in a new theoretical framework that focuses on the mean and variance of each density forecast to be combined. Our results show that, if the variance predictions of the individual forecasts are unbiased, the well-known 'disagreement' component of the linear pool exacerbates the upward bias of the linear pool's variance prediction. Moreover, we find that disagreement has no predictive content for ex-post forecast uncertainty under conditions which can be empirically relevant. These findings suggest the removal of the disagreement component from the linear pool. The resulting centered linear pool outperforms the linear pool in simulations and in empirical applications to inflation and stock returns.
JEL-codes: C32 C53 (search for similar items in EconPapers)
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Working Paper: Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:bubdps:282019
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