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Unternehmens- versus Analystenbefragungen: Zum Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen

Author

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  • Hüfner, Felix P.
  • Schröder, Michael

Abstract

In der vorliegenden Arbeit untersuchen wir die Eignung der ifo-Geschäftserwartungen und der ZEW-Konjunkturerwartungen als Frühindikatoren für die deutsche Industrieproduktion. Anhand von Granger-Kausalitätstests wird gezeigt, dass die auf Umfragen unter Finanzanalysten basierenden ZEW-Konjunkturerwartungen einen signifikanten einmonatigen Vorlauf vor den ifo-Geschäftserwartungen haben. Wir führen dies auf unterschiedliche Erwartungsbildungen der beiden Gruppen zurück. Die ZEW-Konjunkturerwartungen erlauben Prognosen der Industrieproduktion für 3 bis 12 Monate im voraus, die signifikant besser als eine naive Vergleichsprognose und eine Prognose mit den ifo-Erwartungen sind. Die Vorhersagen mit Hilfe der ifo-Geschäftserwartungen sind hingegen auf sehr kurze Sicht besser. Mit Hilfe von Encompassing-Tests wird gezeigt, dass für einen Horizont von drei bis sechs Monaten eine Kombination beider Indikatoren bessere Prognoseergebnisse liefert als die Verwendung der jeweiligen Indikatoren alleine. Eine Analyse der Richtungsprognosen zeigt, dass diese mit den beiden Erwartungsindikatoren erheblich besser möglich sind, als mit der naiven Prognose oder einer Zufallsprognose.

Suggested Citation

  • Hüfner, Felix P. & Schröder, Michael, 2001. "Unternehmens- versus Analystenbefragungen: Zum Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen," ZEW Discussion Papers 01-04, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:5359
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    Cited by:

    1. Georg Goldrian, 2001. "Early indicators derived from survey data: adequate construction design and forecasting quality," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 54(22), pages 32-36, December.
    2. Mühlenweg, Andrea & Sprietsma, Maresa & Horstschräer, Julia, 2010. "Humankapitalpotenziale der gestuften Hochschulabschlüsse in Deutschland: Auswertungen zu Studienbeteiligung, Studienabbrüchen, Mobilität und Eingangsselektion," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, volume 14, number 110547.
    3. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    4. Michael W. M. Roos, 2005. "TV Weather Forecast or Look through the Window? Expert and Consumer Expectations about Macroeconomic Conditions," Kyklos, Wiley Blackwell, vol. 58(3), pages 415-437, July.
    5. Vogt Gerit, 2007. "Analyse der Prognoseeigenschaften von ifo-Konjunkturindikatoren unter Echtzeitbedingungen / The Forecasting Performance of ifo-indicators Under Real-time Conditions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 87-101, February.

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    More about this item

    Keywords

    Konjunkturerwartungen; Prognosemodelle; Prognosevergleich; Frühindikatoren;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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