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Combination forecasting for directional accuracy: An application to survey interest rate forecasts

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Author Info
Mark Greer
Abstract

Using published interest rates forecasts issued by professional economists, two combination forecasts designed to improve the directional accuracy of interest rate forecasting are constructed. The first combination forecast takes a weighted average of the individual forecasters' predictions. The more successful the forecaster was in past forecasts at predicting the direction of change in interest rates, the greater is the weight given to his/her current forecast. The second combination forecast is simply the forecast issued by the forecaster who had the greatest success rate at predicting the direction of change in interest rates in previous forecasts. In cases where two or more forecasters tie for best historic directional accuracy track record, the arithmetic mean of these forecasters is used. The study finds that neither combination forecasting method performs better than coin-flipping at predicting the direction of change in interest rates. Nor does either method beat the simple arithmetic mean of the predictions of all the forecasters surveyed at predicting the direction of change in interest rates.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Journal of Applied Statistics.

Volume (Year): 32 (2005)
Issue (Month): 6 (August)
Pages: 607-615
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Handle: RePEc:taf:japsta:v:32:y:2005:i:6:p:607-615

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Related research
Keywords: Forecasting; directional accuracy; combination forecasting; interest rates;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Swanson, Norman R & Zeng, Tian, 2001. "Choosing among Competing Econometric Forecasts: Regression-Based Forecast Combination Using Model Selection," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(6), pages 425-40, September.
  2. Monica Billio, Domenico Sartore, Carlo Toffano, 2000. "Combining forecasts: some results on exchange and interest rates," European Journal of Finance, Taylor and Francis Journals, vol. 6(2), pages 126-145, June. [Downloadable!] (restricted)
  3. David F. Hendry & Michael P. Clements, 2004. "Pooling of forecasts," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 1-31, 06. [Downloadable!] (restricted)
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  4. Merton, Robert C, 1981. "On Market Timing and Investment Performance. I. An Equilibrium Theory of Value for Market Forecasts," Journal of Business, University of Chicago Press, vol. 54(3), pages 363-406, July. [Downloadable!] (restricted)
  5. Masahiro Ashiya, 2003. "The directional accuracy of 15-months-ahead forecasts made by the IMF," Applied Economics Letters, Taylor and Francis Journals, vol. 10(6), pages 331-333, April. [Downloadable!] (restricted)
  6. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," Journal of Business, University of Chicago Press, vol. 54(4), pages 513-33, October. [Downloadable!] (restricted)
  7. Oller, Lars-Erik & Barot, Bharat, 2000. "The accuracy of European growth and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 16(3), pages 293-315. [Downloadable!] (restricted)
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  8. Massimiliano Marcellino, 2004. "Forecast Pooling for European Macroeconomic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 91-112, 02. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Oliver Blaskowitz & Helmut Herwartz, 2008. "Testing directional forecast value in the presence of serial correlation," SFB 649 Discussion Papers SFB649DP2008-073, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
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