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Journal of Forecasting
Article . 2010 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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zbMATH Open
Article . 2010
Data sources: zbMATH Open
SSRN Electronic Journal
Article . 2008 . Peer-reviewed
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Predicting the Signs of Forecast Errors

Predicting the signs of forecast errors
Authors: Solferino, N; WALDMANN, ROBERT;

Predicting the Signs of Forecast Errors

Abstract

AbstractThe signs of forecast errors can be predicted using the difference between individuals' forecasts and the average of earlier forecasts of the same variable. It is possible to improve forecasts without worsening any. It is difficult to reconcile this result with the rational expectations hypothesis because the average of earlier forecasts is in the information set of the forecasters. Copyright © 2009 John Wiley & Sons, Ltd.

Country
Italy
Keywords

Rational Expectations, forecast, Settore SECS-P/06 - ECONOMIA APPLICATA, Interest Rate, loss function, Loss Function, rational expectations, Panel, Forecast, Statistical methods; economic indices and measures, Rational Expectations, Panel, Loss Function, Forecast, Interest Rate, panel, interest rate

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
bronze