Predicting the signs of forecast errors
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.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Forecasting.
Volume (Year): 29 (2010)
Issue (Month): 5 ()
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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966
Other versions of this item:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
- E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
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- repec:bla:restud:v:72:y:2005:i:4:p:1107-1125 is not listed on IDEAS
- Graham Elliott & Ivana Komunjer & Allan Timmermann, 2005.
"Biases In Macroeconomic Forecasts: Irrationality Or Asymmetric Loss?,"
CAMA Working Papers
2005-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, 03.
- Allan Timmermann & Graham Elliott & Ivana Komunjer, 2004. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Econometric Society 2004 North American Summer Meetings 601, Econometric Society.
- Steven P. Peterson, 2001. "Rational Bias In Yield Curve Forecasts," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 457-464, August.
- Ehrbeck, Tilman & Waldmann, Robert, 1996. "Why Are Professional Forecasters Biased? Agency versus Behavioral Explanations," The Quarterly Journal of Economics, MIT Press, vol. 111(1), pages 21-40, February.
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