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Taylor Rules and the Predictability of Interest Rates

Author

Listed:
  • Söderlind, Paul

    (University of St. Gallen)

  • Söderström, Ulf

    (Research Department, Central Bank of Sweden)

  • Vredin, Anders

    (Monetary Policy Department, Central Bank of Sweden)

Abstract

Recent research suggests that commonly estimated dynamic Taylor rules augmented with a lagged interest rate imply too much predictability of interest rate changes compared with yield curve evidence. We show that this is not sufficient proof against the Taylor rule: the result could be driven by other equations of the model that the Taylor rule is embedded in. To disentangle the effects, we study the predictability of all variables in a simple model of monetary policy: inflation, the output gap, and the interest rate, and we compare with evidence from survey data and a VAR model. We find that the strongest evidence against the Taylor rule is that while it is easy to predict the variables that enter the rule, it is very hard to predict actual interest rate changes. This is consistent with usual Taylor-type rules if policy shocks are very large, but it is more likely that there are other aspects of monetary policy behaviour that are neglected by the Taylor rule.

Suggested Citation

  • Söderlind, Paul & Söderström, Ulf & Vredin, Anders, 2003. "Taylor Rules and the Predictability of Interest Rates," Working Paper Series 147, Sveriges Riksbank (Central Bank of Sweden).
    • Handle: RePEc:hhs:rbnkwp:0147
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    References listed on IDEAS

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    1. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
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    Citations

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    Cited by:

    1. Pierre L. Siklos & Diana N. Weymark, 2008. "Data Revisions, Gradualism, and US Inflation Pressure in Real Time," Vanderbilt University Department of Economics Working Papers 0816, Vanderbilt University Department of Economics.
    2. Meredith Beechey & Pär Österholm, 2012. "The Rise and Fall of U.S. Inflation Persistence," International Journal of Central Banking, International Journal of Central Banking, vol. 8(3), pages 55-86, September.
    3. Consolo, Agostino & Favero, Carlo A., 2009. "Monetary policy inertia: More a fiction than a fact?," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 900-906, September.
    4. Pär Österholm, 2005. "The Taylor Rule: A Spurious Regression?," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 217-247, July.
    5. Glenn D. 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.
    6. Mahir Binici & Yin-Wong Cheung, 2011. "Exchange Rate Dynamics Under Alternative Optimal Interest Rate Rules," Working Papers 362011, Hong Kong Institute for Monetary Research.
    7. Hidi, János, 2006. "A magyar monetáris politikai reakciófüggvény becslése [Estimating the reaction function for Hungarian monetary policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1178-1199.
    8. Driffill, John & Rotondi, Zeno, 2007. "Inertia in Taylor Rules," CEPR Discussion Papers 6570, C.E.P.R. Discussion Papers.
    9. Alex Isakov & Petr Grishin & Oleg Gorlinsky, 2018. "Fear of Forward Guidance," Russian Journal of Money and Finance, Bank of Russia, vol. 77(4), pages 84-106, December.
    10. Par Osterholm, 2005. "The Taylor rule and real-time data - a critical appraisal," Applied Economics Letters, Taylor & Francis Journals, vol. 12(11), pages 679-685.
    11. Jiri Podpiera, 2008. "Policy Rate Decisions and Unbiased Parameter Estimation in Conventionally Estimated Monetary Policy Rules," Working Papers 2008/2, Czech National Bank.
    12. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, University Library of Munich, Germany.
    13. Julio Carrillo & Patrick Fève & Julien Matheron, 2007. "Monetary Policy Inertia or Persistent Shocks: A DSGE Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 3(2), pages 1-38, June.
    14. Janko Gorter & Jan Jacobs & Jakob de Haan, 2007. "Taylor Rules for the ECB using Consensus Data," DNB Working Papers 160, Netherlands Central Bank, Research Department.
    15. Leon, Costas, 2006. "The Taylor rule: can it be supported by the data?," MPRA Paper 1650, University Library of Munich, Germany.
    16. Hayat, Aziz & Mishra, Sagarika, 2010. "Federal reserve monetary policy and the non-linearity of the Taylor rule," Economic Modelling, Elsevier, vol. 27(5), pages 1292-1301, September.
    17. Kenneth B. Petersen & Vladimir Pozdnyakov, 2008. "Predicting the Fed," Working papers 2008-07, University of Connecticut, Department of Economics.
    18. Balázs Romhányi, 2005. "A learning hypothesis of the term structure of interest rates," Macroeconomics 0503001, University Library of Munich, Germany.

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    More about this item

    Keywords

    Interest rate smoothing; yield curve; survey data; VAR; in-sample overfitting;
    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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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