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The Norges Bank’s key rate projections and the news element of monetary policy: a wavelet based jump detection approach

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  • Lars Winkelmann

Abstract

This paper investigates the information content of the Norges Bank’s key rate projections. Wavelet spectrum estimates provide the basis for estimating jump probabilities of short- and long-term interest rates on monetary policy announcement days before and after the introduction of key rate projections. The behavior of short-term interest rates reveals that key rate projections have only little effects on market’s forecasting ability of current target rate changes. In contrast, longer-term interest rates indicate that the announcement of key rate projections has significantly reduced market participants’ revisions of the expected future policy path. Therefore, the announcement of key rate projections further improves central bank communication.

Suggested Citation

  • Lars Winkelmann, 2010. "The Norges Bank’s key rate projections and the news element of monetary policy: a wavelet based jump detection approach," SFB 649 Discussion Papers SFB649DP2010-062, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    • Handle: RePEc:hum:wpaper:sfb649dp2010-062
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    References listed on IDEAS

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    1. Rainer Von Sachs & Brenda Macgibbon, 2000. "Non‐parametric Curve Estimation by Wavelet Thresholding with Locally Stationary Errors," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(3), pages 475-499, September.
    2. Ole E. Barndorff-Nielsen, 2004. "Power and Bipower Variation with Stochastic Volatility and Jumps," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 1-37.
    3. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
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    Cited by:

    1. Åhl, Magnus, 2017. "How big is the toolbox of a central banker? Managing expectations with policy-rate forecasts: Evidence from Sweden," Working Paper Series 339, Sveriges Riksbank (Central Bank of Sweden).
    2. Kedan, Danielle & Stuart, Rebecca, 2014. "Central Bank Communications: A Comparative Study," Quarterly Bulletin Articles, Central Bank of Ireland, pages 89-104, April.
    3. Malte Knüppel & Guido Schultefrankenfeld, 2017. "Interest rate assumptions and predictive accuracy of central bank forecasts," Empirical Economics, Springer, vol. 53(1), pages 195-215, August.
    4. Gunda‐Alexandra Detmers & Ozer Karagedikli & Richhild Moessner, 2021. "Quantitative or Qualitative Forward Guidance: Does it Matter?," The Economic Record, The Economic Society of Australia, vol. 97(319), pages 491-503, December.
    5. Gunda-Alexandra Detmers & Dieter Nautz, 2012. "The Information Content of Central Bank Interest Rate Projections: Evidence from New Zealand," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 323-329, September.
    6. Gerlach, Stefan & Stuart, Rebecca, 2018. "Plotting interest rates: The FOMC’s projections and the economy," CEPR Discussion Papers 12768, C.E.P.R. Discussion Papers.
    7. Gerlach, Stefan & Stuart, Rebecca, 2019. "Plotting interest rates: The FOMC's projections and the economy," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 198-211.

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    More about this item

    Keywords

    Central bank communication; interest rate projections; wavelets; jump probabilities;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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