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A note on forecasting emerging market exchange rates: Evidence of anti-herding

Author

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  • Pierdzioch, Christian
  • Rülke, Jan-Christoph
  • Stadtmann, Georg

Abstract

Using survey forecasts of a large number of Asian, European, and South American emerging market exchange rates, we studied empirically whether evidence of herding or antiherding behavior of exchange-rate forecasters can be detected in the cross-section of forecasts. Emerging market exchange-rate forecasts are consistent with herding (anti-herding) if forecasts are biased towards (away from) the consensus forecast. Our empirical findings provide strong evidence of anti-herding of emerging market exchange-rate forecasters.

Suggested Citation

  • Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "A note on forecasting emerging market exchange rates: Evidence of anti-herding," Discussion Papers 324, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
  • Handle: RePEc:zbw:euvwdp:324
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    References listed on IDEAS

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    1. Christian Dreger & Georg Stadtmann, 2006. "What Drives Heterogeneity in Foreign Exchange Rate Expectations: Deep Insights from a New Survey," Discussion Papers of DIW Berlin 624, DIW Berlin, German Institute for Economic Research.
    2. Benassy-Quere, Agnes & Larribeau, Sophie & MacDonald, Ronald, 2003. "Models of exchange rate expectations: how much heterogeneity?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 113-136, April.
    3. Lamont, Owen A., 2002. "Macroeconomic forecasts and microeconomic forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 265-280, July.
    4. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    5. Frommel, Michael & Schobert, Franziska, 2006. "Exchange rate regimes in Central and East European countries: Deeds vs. words," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 467-483, September.
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    Citations

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    Cited by:

    1. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    2. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
    3. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    4. 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.
    5. Hamid Baghestani & Liliana Danila, 2014. "Interest Rate and Exchange Rate Forecasting in the Czech Republic: Do Analysts Know Better than a Random Walk?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 282-295, September.

    More about this item

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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