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Estimating the neutral Czech government bond yield curve

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  • Adam Kucera
  • Milan Szabo

Abstract

This article presents the neutral Czech government bond yield curve and the method used to construct it. The neutral yield curve shows the Czech government bond yields at which the economy is in equilibrium, inflation is at the target, risk premia are at their long-term average levels and investors do not expect any future deviation from this state. The method presented in this article allows us to identify the factors responsible for the deviation of market yields from neutral yields. By applying the method to data for the period 2003-2018, we show that the Czech government bond yield curve has been well below its neutral level since 2009. At the start of the period under review, this deviation was caused mainly by a negative cycle in real rates due to accommodative monetary policy. In the period that followed, higher demand for Czech government bonds - caused mainly by unconventional monetary policy instruments - contributed to the deviation. At the end of the period under review, a low term risk premium was the main cause of the persisting deviation.

Suggested Citation

  • Adam Kucera & Milan Szabo, 2019. "Estimating the neutral Czech government bond yield curve," Occasional Publications - Chapters in Edited Volumes,, Czech National Bank.
  • Handle: RePEc:cnb:ocpubc:tafs2019/3
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    File URL: https://www.cnb.cz/export/sites/cnb/en/financial-stability/.galleries/thematic-articles-on-financial-stability/tafs_2019_03_en.pdf
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    References listed on IDEAS

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    1. Michael D. Bauer & Glenn D. Rudebusch, 2020. "Interest Rates under Falling Stars," American Economic Review, American Economic Association, vol. 110(5), pages 1316-1354, May.
    2. Garcia-de-Andoain, Carlos & Kremer, Manfred, 2017. "Beyond spreads: Measuring sovereign market stress in the euro area," Economics Letters, Elsevier, vol. 159(C), pages 153-156.
    3. Michał Brzoza-Brzezina & Jacek Kotłowski, 2014. "Measuring the natural yield curve," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 2052-2065, June.
    4. Thomas Laubach & John C. Williams, 2003. "Measuring the Natural Rate of Interest," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1063-1070, November.
    5. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    6. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    7. Michael T. Gapen & Mr. Dale F Gray & Cheng Hoon Lim & Ms. Yingbin Xiao, 2005. "Measuring and Analyzing Sovereign Risk with Contingent Claims," IMF Working Papers 2005/155, International Monetary Fund.
    8. Fama, Eugene F & Bliss, Robert R, 1987. "The Information in Long-Maturity Forward Rates," American Economic Review, American Economic Association, vol. 77(4), pages 680-692, September.
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    Cited by:

    1. Jiri Panos & Petr Polak, 2019. "How to Improve the Model Selection Procedure in a Stress-testing Framework," Working Papers 2019/9, Czech National Bank.

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