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Do dollar forecasters believe too much in PPP?

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  • Lukas Menkhoff
  • Rafael Rebitzky
  • Michael Schroder

Abstract

This article extends earlier studies on exchange-rate expectations' formation by using new data and adding information about forecasters' reliance on fundamental analysis for the first time. We replicate the conventional result of nonrational expectations. Moreover, biases in expectations are identified as professionals significantly believe too much in mean reversion, mean being represented by purchasing power parity (PPP). When respondents are grouped on their reliance to fundamental analysis, fundamentalists reveal an even stronger bias. Those, who rely the least on fundamentals - preferring technical analysis instead - show a significantly smaller bias towards PPP in lieu of expecting too much trend extrapolation. Biased beliefs will grow stronger when the US Dollar is further away from PPP. Finally, the accuracy of the expectations is poor for both groups, however, we find directional forecasting ability.

Suggested Citation

  • Lukas Menkhoff & Rafael Rebitzky & Michael Schroder, 2008. "Do dollar forecasters believe too much in PPP?," Applied Economics, Taylor & Francis Journals, vol. 40(3), pages 261-270.
  • Handle: RePEc:taf:applec:v:40:y:2008:i:3:p:261-270
    DOI: 10.1080/00036840500428153
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    Cited by:

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    2. Menkhoff, Lukas & Rebitzky, Rafael R., 2008. "Investor sentiment in the US-dollar: Longer-term, non-linear orientation on PPP," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 455-467, June.
    3. Pierdzioch, Christian & Rülke, Jan Christoph & Stadtmann, Georg, 2012. "House price forecasts in times of crisis: Do forecasters herd?," Discussion Papers 318, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    4. Stephan Schulmeister, 2005. "Components of the Profitability of Technical Currency Trading," WIFO Working Papers 263, WIFO.
    5. Brückbauer Frank & Schröder Michael, 2023. "The ZEW Financial Market Survey Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(3-4), pages 451-469, June.
    6. Michael Frenkel & Matthias Mauch & Jan-Christoph Rülke, 2017. "Forecaster Rationality and Expectation Formation in Foreign Exchange Markets: Do Emerging Markets Differ from Industrialized Economies?," WHU Working Paper Series - Economics Group 17-04, WHU - Otto Beisheim School of Management.
    7. Jongen, Ron & Verschoor, Willem F.C. & Wolff, Christian C.P. & Zwinkels, Remco C.J., 2012. "Explaining dispersion in foreign exchange expectations: A heterogeneous agent approach," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 719-735.
    8. Grossmann, Axel & Orlov, Alexei G., 2022. "Exchange rate misalignments, capital flows and volatility," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    9. Brückbauer, Frank & Schröder, Michael, 2021. "Data resource profile: The ZEW FMS dataset," ZEW Discussion Papers 21-100, ZEW - Leibniz Centre for European Economic Research.
    10. Dick, Christian D. & Menkhoff, Lukas, 2013. "Exchange rate expectations of chartists and fundamentalists," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1362-1383.

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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