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On the herding instinct of interest rate forecasters

Author

Listed:
  • Ronald Bewley

    () (The University of New South Wales, Sydney 2052, Australia)

  • Denzil G. Fiebig

    () (The University of New South Wales, Sydney 2052, Australia)

Abstract

It is not uncommon to observe the published forecasts of economic commentators closely bunched together over long periods of time. In our case, the phenomenon is observed for eight national panels of economists who report monthly forecasts. A framework is developed that conveniently nests within it several simple, yet plausible forecasting rules, and allows us to explore the extent of the clustering phenomenon.

Suggested Citation

  • Ronald Bewley & Denzil G. Fiebig, 2002. "On the herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 27(3), pages 403-425.
  • Handle: RePEc:spr:empeco:v:27:y:2002:i:3:p:403-425
    Note: received: June 1999/Final version received: February 2001
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    Citations

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    Cited by:

    1. Christina Strobach & Carin van der Cruijsen, 2015. "The formation of European inflation expectations: One learning rule does not fit all," DNB Working Papers 472, Netherlands Central Bank, Research Department.
    2. Ernest Gnan & Johann Scharler & Maria Antoinette Silgoner, 2009. "Inflation Expectations – Role and Measurement for Monetary Policy," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 41-67.
    3. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    4. Christian Pierdzioch & Jan Christoph Rülke & Georg Stadtmann, 2012. "House Price Forecasts, Forecaster Herding, and the Recent Crisis," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 1(1), pages 1-14, November.
    5. Maria Antoinette Silgoner, 2005. "An Overview of European Economic Indicators: Great Variety of Data on the Euro Area, Need for More Extensive Coverage of the New EU Member States," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 66-89.
    6. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    8. Jordi Pons-Novell, 2004. "Behavioural biases among interest rate forecasters?," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 319-321.
    9. Christian Pierdzioch & Jan-Christoph Rülke, 2013. "A note on the anti-herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 45(2), pages 665-673, October.
    10. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "Forecasting metal prices: Do forecasters herd?," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 150-158.
    11. Jan-Christoph Rülke & Maria Silgoner & Julia Wörz, 2012. "Herding Behavior of Business Cycle Forecasters in Times of Economic Crises," WHU Working Paper Series - Economics Group 12-03, WHU - Otto Beisheim School of Management.
    12. Pierdzioch, Christian & Rülke, Jan-Christoph, 2014. "Central banks’ interest rate projections and forecast coordination," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 130-137.
    13. Jordi Pons-Novell, 2003. "Strategic bias, herding behaviour and economic forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(1), pages 67-77.
    14. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.

    More about this item

    Keywords

    Clustering of forecasts; forecast accuracy; panel data;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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