Analyzing Fixed-event Forecast Revisions

It is common practice to evaluate fixed-event forecast revisions in macroeconomics by regressing current revisions on one-period lagged revisions. Under weak-form efficiency, the correlation between the current and one-period lagged revisions should be zero. The empirical findings in the literature...

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Detalhes bibliográficos
Autores: Franses, Philip Hans, Chang, Chia-Lin, McAleer, Michael
Tipo de documento: relatório científico
Data de publicação:2011
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositório:Docta Complutense
Idioma:inglês
OAI Identifier:oai:docta.ucm.es:20.500.14352/49013
Acesso em linha:https://hdl.handle.net/20.500.14352/49013
Access Level:Acceso aberto
Palavra-chave:C22
C53
E27
E37
Evaluating forecasts
Macroeconomic forecasting
Rationality
Intuition
Weak-form efficiency
Fixed-event forecasts.
Econometría (Economía)
5302 Econometría
Descrição
Resumo:It is common practice to evaluate fixed-event forecast revisions in macroeconomics by regressing current revisions on one-period lagged revisions. Under weak-form efficiency, the correlation between the current and one-period lagged revisions should be zero. The empirical findings in the literature suggest that the null hypothesis of zero correlation between the current and one-period lagged revisions is rejected quite frequently, where the correlation can be either positive or negative. In this paper we propose a methodology to be able to interpret such non-zero correlations in a straightforward manner. Our approach is based on the assumption that forecasts can be decomposed into both an econometric model and expert intuition. The interpretation of the sign of the correlation between the current and one-period lagged revisions depends on the process governing intuition, and the correlation between intuition and news.