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Dynamic Taylor Rules And The Predictability Of Interest Rates

Author

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  • SÖDERLIND, PAUL
  • SÖDERSTRÖM, ULF
  • VREDIN, ANDERS

Abstract

Recent research shows that when commonly estimated dynamic Taylor rules, which are augmented with a lagged interest, are embedded in a variety of macroeconomic models, they imply a greater amount of predictable information about future movements in interest rates than is actually evident in the yield curve. We extend the analysis to consider more generally the predictability of the arguments of the Taylor rule—inflation and the output gap—in addition to the interest rate. Specifically, we compare the predictability of these three variables in a macroeconomic model with a dynamic Taylor rule to their predictability in real-time surveys of macroeconomic forecasters or a VAR model. We find that the strongest evidence against the dynamic 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 disparity suggests that dynamic Taylor rules neglect important aspects of monetary policy behavior.

Suggested Citation

  • Söderlind, Paul & Söderström, Ulf & Vredin, Anders, 2005. "Dynamic Taylor Rules And The Predictability Of Interest Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 9(3), pages 412-428, June.
  • Handle: RePEc:cup:macdyn:v:9:y:2005:i:03:p:412-428_04
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    Cited by:

    1. Kasimir Kaliva, 2008. "The Fisher effect, survey data and time-varying volatility," Empirical Economics, Springer, vol. 35(1), pages 1-10, August.
    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. Gomes, Orlando & Mendes, Diana A. & Mendes, Vivaldo M., 2008. "Bounded rational expectations and the stability of interest rate policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3882-3890.
    5. Hakan Danis, 2017. "Nonlinearity and asymmetry in the monetary policy reaction function: a partially generalized ordered probit approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 161-178, August.
    6. Podpiera, Jirí, 2008. "The role of ad hoc factors in policy rate settings," Economic Modelling, Elsevier, vol. 25(5), pages 1003-1010, September.
    7. Pär Österholm, 2005. "The Taylor Rule: A Spurious Regression?," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 217-247, July.
    8. Mahir Binici & Yin-Wong Cheung, 2011. "Exchange Rate Dynamics Under Alternative Optimal Interest Rate Rules," Working Papers 362011, Hong Kong Institute for Monetary Research.
    9. Nucci, Francesco & Riggi, Marianna, 2013. "Performance pay and changes in U.S. labor market dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2796-2813.
    10. Bulíř Aleš & Čihák Martin & Šmídkova Kateřina Š, 2013. "Writing Clearly: The ECB’s Monetary Policy Communication," German Economic Review, De Gruyter, vol. 14(1), pages 50-72, February.
    11. Yu-Hsi Chou, 2017. "Dissecting Exchange Rates and Fundamentals in the Modern Floating Era: The Role of Permanent and Transitory Shocks," Review of International Economics, Wiley Blackwell, vol. 25(1), pages 165-194, February.
    12. Moccero, Diego & Gnabo, Jean-Yves, 2015. "The risk management approach to monetary policy, nonlinearity and aggressiveness: the case of the US Fed," Working Paper Series 1792, European Central Bank.
    13. Hartmann, Matthias & Conrad, Christian, 2014. "Cross sectional evidence on the relation between monetary policy, macroeconomic conditions and low-frequency inflation uncertainty," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100477, Verein für Socialpolitik / German Economic Association.
    14. Jiri Podpiera, 2008. "Policy Rate Decisions and Unbiased Parameter Estimation in Conventionally Estimated Monetary Policy Rules," Working Papers 2008/2, Czech National Bank.
    15. Podpiera, Jiri­, 2008. "Monetary policy inertia reconsidered: Evidence from endogenous interest rate trajectory," Economics Letters, Elsevier, vol. 100(2), pages 238-240, August.
    16. Glenn D. Rudebusch, 2006. "Monetary Policy Inertia: Fact or Fiction?," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    17. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    18. Gnabo, Jean-Yves & Moccero, Diego Nicolas, 2015. "Risk management, nonlinearity and aggressiveness in monetary policy: The case of the US Fed," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 281-294.
    19. 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.
    20. Troy Davig & Jeffrey R. Gerlach, 2006. "State-Dependent Stock Market Reactions to Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    21. Carlo A. Favero & Arie E. Gozluklu & Haoxi Yang, 2016. "Demographics and the Behavior of Interest Rates," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(4), pages 732-776, November.
    22. 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.
    23. Yu Guo And Wei Ma, 2016. "Time-Varying Coefficient Taylor Rule and Chinese Monetary Policy: Evidence from the Time-Varying Cointegration," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 41(4), pages 27-44, December.
    24. Nicolas Pinkwart, 2013. "Quantifying The European Central Bank'S Interest Rate Smoothing Behavior," Manchester School, University of Manchester, vol. 81(4), pages 470-492, July.

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