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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 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.

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File URL: http://www.econ.canterbury.ac.nz/RePEc/cbt/econwp/1125.pdf
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Paper provided by University of Canterbury, Department of Economics and Finance in its series Working Papers in Economics with number 11/25.

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Length: 21 pages
Date of creation: 01 Jun 2011
Date of revision:
Handle: RePEc:cbt:econwp:11/25
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  1. Philip Hans Franses & Rianne Legerstee, 2010. "Do experts' adjustments on model-based SKU-level forecasts improve forecast quality?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 331-340.
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  3. Carlos Capistrán & Allan Timmermann, 2008. "Disagreement and Biases in Inflation Expectations," CREATES Research Papers 2008-56, School of Economics and Management, University of Aarhus.
  4. Masahiro Ashiya, 2006. "Testing the rationality of forecast revisions made by the IMF and the OECD," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(1), pages 25-36.
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  6. Jonas Dovern & Johannes Weisser, 2009. "Accuracy, Unbiasedness and Efficiency of Professional Macroeconomic Forecasts: An empirical Comparison for the G7," Jena Economic Research Papers 2009-091, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
  7. Clements, M.C., 1996. "Evaluating the Rationality of Fixed-Event Forecasts," The Warwick Economics Research Paper Series (TWERPS) 457, University of Warwick, Department of Economics.
  8. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
  9. Franses, Philip Hans & Kranendonk, Henk C. & Lanser, Debby, 2011. "One model and various experts: Evaluating Dutch macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 482-495, April.
  10. Amir, Eli & Ganzach, Yoav, 1998. "Overreaction and underreaction in analysts' forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 37(3), pages 333-347, November.
  11. Prakash Loungani, 2000. "How Accurate Are Private Sector Forecasts; Cross-Country Evidence From Consensus Forecasts of Output Growth," IMF Working Papers 00/77, International Monetary Fund.
  12. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2004. "Are Revisions To Usda Crop Production Forecasts Smoothed?," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19027, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  13. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346.
  14. Berger, Allen N & Krane, Spencer D, 1985. "The Information Efficiency of Econometric Model Forecasts," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 128-34, February.
  15. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias In Macroeconomic Forecasts," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 293-318, February.
  16. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2009. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," CIRJE F-Series CIRJE-F-637, CIRJE, Faculty of Economics, University of Tokyo.
  17. William D. Nordhaus, 1985. "Forecasting Efficiency: Concepts and Applications," Cowles Foundation Discussion Papers 774, Cowles Foundation for Research in Economics, Yale University.
  18. Giampiero M. Gallo & Clive W.J. Granger & Yongil Jeon, 2001. "Copycats and Common Swings: the Impact of the Use of Forecasts in Information Sets," Econometrics Working Papers Archive wp2001_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  19. Cho, Dong W., 2002. "Do revisions improve forecasts?," International Journal of Forecasting, Elsevier, vol. 18(1), pages 107-115.
  20. Lawrence, Michael & O'Connor, Marcus, 2000. "Sales forecasting updates: how good are they in practice?," International Journal of Forecasting, Elsevier, vol. 16(3), pages 369-382.
  21. Ashiya, Masahiro, 2003. "Testing the rationality of Japanese GDP forecasts: the sign of forecast revision matters," Journal of Economic Behavior & Organization, Elsevier, vol. 50(2), pages 263-269, February.
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