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Analyzing Fixed-event Forecast Revisions


Franses, Philip Hans y Chang, Chia-Lin y McAleer, Michael (2011) Analyzing Fixed-event Forecast Revisions. [ Documentos de Trabajo del Instituto Complutense de Análisis Económico; nº 24, 2011, ] (No publicado)

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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.

Tipo de documento:Documento de trabajo o Informe técnico
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The authors are grateful for the helpful comments and suggestions of seminar participants at Complutense University of Madrid. For financial support, the second author acknowledges the National Science Council, Taiwan, and the third author wishes to thank the Australian Research Council, National Science Council, Taiwan, and the Japan Society for the Promotion of Science.

Palabras clave:Evaluating forecasts, Macroeconomic forecasting, Rationality, Intuition, Weak-form efficiency, Fixed-event forecasts.
Materias:Ciencias Sociales > Economía > Econometría
JEL:C22, C53, E27, E37
Título de serie o colección:Documentos de Trabajo del Instituto Complutense de Análisis Económico
Código ID:12883

Ager, P., M. Kappler, and S. Osterloh (2009), The accuracy and efficiency of the Consensus forecasts: A further application and extension of the pooled approach, International Journal of Forecasting, 25, 167-181.

Amir, E. and Y. Ganzach (1998), Overreaction and underreaction in analysts’ forecasts, Journal of Economic Behavior & Organization, 37, 333-347.

Ashiya, M. (2003), Testing the rationality of Japanese GDP forecasts: The sign of forecast revision matters, Journal of Economic Behavior & Organization, 50, 263-269.

Ashiya, M. (2006), Testing the rationality of forecast revisions made by the IMF and the OECD, Journal of Forecasting, 25, 25-36.

Batchelor, R. and P. Dua (1992), Conservatism and consensus-seeking among economic forecasters, Journal of Forecasting, 11, 169-181.

Berger, A.N. and S.D. Krane (1985), The informational efficiency of econometric model forecasts, Review of Economics and Statistics, 67, 667-674.

Capistran, C. and A. Timmermann (2009), Disagreement and biases in inflation expectations, Journal of Money, Credit and Banking, 41, 365-396.

Chang, C.-L., P.H. Franses and M. McAleer (2011), How accurate are government forecasts of economic fundamentals? The case of Taiwan, to appear in International Journal of Forecasting. Available at SSRN:

Cho, D.W. (2002), Do revisions improve forecasts?, International Journal of Forecasting, 18, 107-115.

Clements, M.P. (1997), Evaluating the rationality of fixed-event forecasts, Journal of Forecasting, 16, 225-239.

DellaVigna, S. (2009), Psychology and economics: Evidence from the field, Journal of Economic Literature, 47, 315-272.

Dovern, J. and J. Weisser (2011), Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7, International Journal of Forecasting, 27, 452-465.

Franses, P.H. and R. Legerstee (2010), Do experts adjustments on model-based SKU-level forecasts improve forecast quality?, Journal of Forecasting, 29, 331-340.

Franses, P.H., M. McAleer and R. Legerstee (2009), Expert opinion versus expertise in forecasting, Statistica Neerlandica, 63, 334-346.

Gallo, G.M., C.W.J. Granger and Y. Jeon (2002), Copycats and common swings: the impact of the use of forecasts in information sets, IMF Staff Papers, 49, 4-21.

Isengildina, O., S.H. Irwin, and D.L. Good (2006), Are revisions to USDA crop production forecasts smoothed?, American Journal of Agricultural Economics, 88, 1091-1104.

Isiklar, G., K. Lahiri and P. Loungani (2006), How quickly do forecasters incorporate news? Evidence from cross-country surveys, Journal of Applied Econometrics, 21, 703-725.

Laster, D., P. Bennett and I.S. Geoum (1999), Rational bias in macroeconomic forecasts, Quarterly Journal of Economics, 114, 293-318.

Lawrence, M. and M. O’Connor (2000), Sales forecasting updates: How good are they in practice?, International Journal of Forecasting, 16, 369-382.

Loungani, P. (2001), How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth, International Journal of Forecasting, 17, 419-432.

Nordhaus, W.D. (1987), Forecasting efficiency: Concepts and applications, The Review of Economics and Statistics, 69, 667-674.

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