Analyzing Fixed-event Forecast Revisions

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

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Detalhes bibliográficos
Autores: Chang, Chia-Lin, Bruijn, Bert de, Franses, Philip Hans, McAleer, Michael
Tipo de documento: relatório científico
Data de publicação:2013
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositório:Docta Complutense
Idioma:inglês
OAI Identifier:oai:docta.ucm.es:20.500.14352/41471
Acesso em linha:https://hdl.handle.net/20.500.14352/41471
Access Level:Acceso aberto
Palavra-chave:C22
C53
E27
E37
Evaluating forecasts
Macroeconomic forecasting
Rationality
Intuition
Weak-form efficiency
Fixed-event forecasts.
Econometría (Economía)
Macroeconomía
5302 Econometría
5307.14 Teoría Macroeconómica
Descrição
Resumo:It is common practice to evaluate fixed-event forecast revisions in macroeconomics by regressing current forecast revisions on one-period lagged forecast revisions. Under weak-form (forecast) efficiency, the correlation between the current and one-period lagged revisions should be zero. The empirical findings in the literature suggest that this null hypothesis of zero correlation is rejected frequently, where the correlation can be either positive (which is widely interpreted in the literature as “smoothing”) or negative (which is widely interpreted as “over-reacting”). We propose a methodology to interpret such non-zero correlations in a straightforward and clear manner. Our approach is based on the assumption that numerical forecasts can be decomposed into both an econometric model and random expert intuition. We show that the interpretation of the sign of the correlation between the current and one-period lagged revisions depends on the process governing intuition, and the current and lagged correlations between intuition and news (or shocks to the numerical forecasts). It follows that the estimated non-zero correlation cannot be given a direct interpretation in terms of smoothing or overreaction.