IDEAS home Printed from https://ideas.repec.org/a/zbw/zewwka/126023.html
   My bibliography  Save this article

Wie Finanzmarktexperten die Geldpolitik der EZB wahrnehmen

Author

Listed:
  • Schmidt, Sandra

Abstract

Eine effektive Kommunikation von Zentralbanken mit den Akteuren an Finanzmärkten soll sicher stellen, dass die Finanzmärkte die Zinspolitik der Zentralbanken nachvollziehen können. Dennoch sind Zinsprognosen nicht immer korrekt. Dieser Artikel geht auf zwei Ursachen von Unsicherheit ein, die dazu führen können, dass Finanzmarktexperten künftige Zinsentscheidungen der Europäischen Zentralbank nicht vollständig korrekt antizipieren.

Suggested Citation

  • Schmidt, Sandra, 2010. "Wie Finanzmarktexperten die Geldpolitik der EZB wahrnehmen," ZEW Wachstums- und Konjunkturanalysen, ZEW - Leibniz Centre for European Economic Research, vol. 13(3), pages 6-7.
  • Handle: RePEc:zbw:zewwka:126023
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/126023/1/2010-03_2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sandra Schmidt & Dieter Nautz, 2010. "Why Do Financial Market Experts Misperceive Future Monetary Policy Decisions?," SFB 649 Discussion Papers SFB649DP2010-036, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2009. "Higher-order beliefs among professional stock market forecasters: some first empirical tests," ZEW Discussion Papers 09-042, ZEW - Leibniz Centre for European Economic Research.
    3. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2009. "Forecasting ECB monetary policy: Accuracy is a matter of geography," European Economic Review, Elsevier, vol. 53(8), pages 1028-1041, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sandra Schmidt & Dieter Nautz, 2012. "Central Bank Communication and the Perception of Monetary Policy by Financial Market Experts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 323-340, March.
    2. Vinogradov, Dmitri, 2012. "Destructive effects of constructive ambiguity in risky times," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1459-1481.
    3. Basteck, Christian & Daniëls, Tijmen R., 2011. "Every symmetric 3×3 global game of strategic complementarities has noise-independent selection," Journal of Mathematical Economics, Elsevier, vol. 47(6), pages 749-754.
    4. Andrade, Sandro C. & Kohlscheen, Emanuel, 2010. "Pessimistic Foreign Investors and Turmoil in Emerging Markets : The Case of Brazil in 2002," The Warwick Economics Research Paper Series (TWERPS) 926, University of Warwick, Department of Economics.
    5. Enno Mammen & Christoph Rothe & Melanie Schienle, 2010. "Nonparametric Regression with Nonparametrically Generated Covariates," SFB 649 Discussion Papers SFB649DP2010-059, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    6. Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022. "Do expert experience and characteristics affect inflation forecasts?," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.
    7. Oliver Gloede & Lukas Menkhoff, 2014. "Financial Professionals' Overconfidence: Is It Experience, Function, or Attitude?," European Financial Management, European Financial Management Association, vol. 20(2), pages 236-269, March.
    8. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2020. "How Do Firms Form Expectations of Aggregate Growth? New Evidence from a Large-scale Business Survey," Working Papers 15, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    9. Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
    10. Jitmaneeroj, Boonlert & Lamla, Michael J. & Wood, Andrew, 2019. "The implications of central bank transparency for uncertainty and disagreement," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 222-240.
    11. Nikolaus Hautsch & Peter Malec & Melanie Schienle, 2014. "Capturing the Zero: A New Class of Zero-Augmented Distributions and Multiplicative Error Processes," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 12(1), pages 89-121.
    12. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2011. "Geography, skills or both: What explains Fed watchers' forecast accuracy of US monetary policy?," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 420-437, September.
    13. Brückbauer, Frank & Schröder, Michael, 2021. "Data resource profile: The ZEW FMS dataset," ZEW Discussion Papers 21-100, ZEW - Leibniz Centre for European Economic Research.
    14. Angela Maddaloni & José-Luis Peydró, 2010. "Bank lending standards and the origins and implications of the current banking crisis," Research Bulletin, European Central Bank, vol. 9, pages 6-9.
    15. Vladimir Panov, 2010. "Estimation of the signal subspace without estimation of the inverse covariance matrix," SFB 649 Discussion Papers SFB649DP2010-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    16. Alexander L. Baranovski, 2010. "Dynamical systems forced by shot noise as a new paradigm in the interest rate modeling," SFB 649 Discussion Papers SFB649DP2010-037, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    17. Mr. Marcos Poplawski Ribeiro & Jan-Christoph Rülke, 2011. "Fiscal Expectations Under the Stability and Growth Pact: Evidence from Survey Data," IMF Working Papers 2011/048, International Monetary Fund.
    18. Szymon Borak & Adam Misiorek & Rafał Weron, 2010. "Models for Heavy-tailed Asset Returns," SFB 649 Discussion Papers SFB649DP2010-049, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    19. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2023. "Local information and firm expectations about aggregates," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 1-13.
    20. Carsten Hefeker & Blandine Zimmer, 2010. "Central bank independence and conservatism under uncertainty: Substitutes or complements?," Volkswirtschaftliche Diskussionsbeiträge 140-10, Universität Siegen, Fakultät Wirtschaftswissenschaften, Wirtschaftsinformatik und Wirtschaftsrecht.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewwka:126023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.