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Measuring the natural yield curve

Author

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  • Michał Brzoza-Brzezina
  • Jacek Kotłowski

Abstract

We generalize the concept of the natural rate of interest (Laubach and Williams, 2003; Woodford, 2003) by defining and estimating the natural yield curve (NYC) -- the term structure of natural interest rates. Our motivation stems i.a. from the observation that at times when central banks attempt to directly affect long-term interest rates (e.g. via quantitative easing) the gap between the short-term real and natural rate is no more a good indicator of the monetary policy stance. We estimate the NYC on US data, document its main properties and show i.a. that in the period 2008 to 2011 the NYC allows to better capture the US monetary policy stance than the short-term natural rate.

Suggested Citation

  • Michał Brzoza-Brzezina & Jacek Kotłowski, 2014. "Measuring the natural yield curve," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 2052-2065, June.
  • Handle: RePEc:taf:applec:v:46:y:2014:i:17:p:2052-2065
    DOI: 10.1080/00036846.2013.829204
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    1. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    2. Qiang Dai & Kenneth J. Singleton, 2000. "Specification Analysis of Affine Term Structure Models," Journal of Finance, American Finance Association, vol. 55(5), pages 1943-1978, October.
    3. Orphanides, Athanasios & Williams, John C., 2007. "Robust monetary policy with imperfect knowledge," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1406-1435, July.
    4. Lars E.O. Svensson, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994," NBER Working Papers 4871, National Bureau of Economic Research, Inc.
    5. Mesonnier, Jean-Stephane & Renne, Jean-Paul, 2007. "A time-varying "natural" rate of interest for the euro area," European Economic Review, Elsevier, vol. 51(7), pages 1768-1784, October.
    6. Joseph G. Haubrich & George Pennacchi & Peter H. Ritchken, 2008. "Estimating real and nominal term structures using Treasury yields, inflation, inflation forecasts, and inflation swap rates," Working Papers (Old Series) 0810, Federal Reserve Bank of Cleveland, revised 2008.
    7. Jens H. E. Christensen & Francis X. Diebold & Glenn D. Rudebusch, 2009. "An arbitrage-free generalized Nelson--Siegel term structure model," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 33-64, November.
    8. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    9. Antulio N. Bomfim, 2001. "Measuring equilibrium real interest rates: what can we learn from yields on indexed bonds?," Finance and Economics Discussion Series 2001-53, Board of Governors of the Federal Reserve System (U.S.), revised 2001.
    10. Garnier, Julien & Wilhelmsen, Björn-Roger, 2005. "The natural real interest rate and the output gap in the euro area: a joint estimation," Working Paper Series 546, European Central Bank.
    11. Svensson, Lars E O, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992-4," CEPR Discussion Papers 1051, C.E.P.R. Discussion Papers.
    12. GlennD. Rudebusch & Tao Wu, 2008. "A Macro-Finance Model of the Term Structure, Monetary Policy and the Economy," Economic Journal, Royal Economic Society, vol. 118(530), pages 906-926, July.
    13. Gregory R. Duffee, 2002. "Term Premia and Interest Rate Forecasts in Affine Models," Journal of Finance, American Finance Association, vol. 57(1), pages 405-443, February.
    14. Jesús Cuaresma & Ernest Gnan & Doris Ritzberger-Gruenwald, 2004. "Searching for the natural rate of interest: a euro area perspective," Economic Change and Restructuring, Springer, vol. 31(2), pages 185-204, June.
    15. Manfred Gilli & Stefan Große & Enrico Schumann, 2010. "Calibrating the Nelson–Siegel–Svensson model," Working Papers 031, COMISEF.
    16. Julien Garnier & Bjørn-Roger Wilhelmsen, 2005. "The natural real interest rate and the output gap in the euro area: A joint estimation," Working Paper 2005/14, Norges Bank.
    17. Jesús Cuaresma & Ernest Gnan & Doris Ritzberger-Gruenwald, 2004. "Searching for the natural rate of interest: a euro area perspective," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(2), pages 185-204, June.
    18. International Monetary Fund, 2010. "On the Estimation of Term Structure Models and An Application to the United States," IMF Working Papers 10/258, International Monetary Fund.
    19. Jeffery D. Amato, 2005. "The role of the natural rate of interest in monetary policy," BIS Working Papers 171, Bank for International Settlements.
    20. repec:pri:cepsud:161blinder is not listed on IDEAS
    21. Edge, Rochelle M. & Kiley, Michael T. & Laforte, Jean-Philippe, 2008. "Natural rate measures in an estimated DSGE model of the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2512-2535, August.
    22. 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.
    23. 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.
    24. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    25. Darrell Duffie & Rui Kan, 1996. "A Yield‐Factor Model Of Interest Rates," Mathematical Finance, Wiley Blackwell, vol. 6(4), pages 379-406, October.
    26. Lars E.O. Svensson, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994," NBER Working Papers 4871, National Bureau of Economic Research, Inc.
    27. Jeffery D. Amato, 2005. "The Role of the Natural Rate of Interest in Monetary Policy," CESifo Economic Studies, CESifo, vol. 51(4), pages 729-755.
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    Cited by:

    1. Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020. "Natural rate chimera and bond pricing reality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224546, Verein für Socialpolitik / German Economic Association.
    2. Gilles Dufrénot & Meryem Rhouzlane & Etienne Vaccaro-Grange, 2019. "Potential Growth and Natural Yield Curve in Japan," Working Papers halshs-02091035, HAL.
    3. Adam Kucera & Milan Szabo, 2019. "Estimating the neutral Czech government bond yield curve," Occasional Publications - Chapters in Edited Volumes,, Czech National Bank.
    4. Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2018. "The natural yield curve: its concept and measurement," Empirical Economics, Springer, vol. 55(2), pages 551-572, September.
    5. Claus Brand & Gavin Goy & Wolfgang Lemke, 2020. "Natural Rate Chimera and Bond Pricing Reality," DNB Working Papers 666, Netherlands Central Bank, Research Department.
    6. Kei Imakubo & Haruki Kojima & Jouchi Nakajima, 2015. "The natural yield curve: its concept and measurement," Bank of Japan Working Paper Series 15-E-5, Bank of Japan.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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