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Optimal Monetary Policy with Real-time Signal Extraction from the Bond Market

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  • Kristoffer Nimark

    (Reserve Bank of Australia)

Abstract

Monetary policy is conducted in an environment of uncertainty. This paper sets up a model where the central bank uses real-time data from the bond market together with standard macroeconomic indicators to estimate the current state of the economy more efficiently, while taking into account that its own actions influence what it observes. The timeliness of bond market data allows for quicker responses of monetary policy to disturbances compared to the case when the central bank has to rely solely on collected aggregate data. The information content of the term structure creates a link between the bond market and the macroeconomy that is novel to the literature. To quantify the importance of the bond market as a source of information, the model is estimated on data for the United States and Australia using Bayesian methods. The empirical exercise suggests that there is some information in the US term structure that helps the Federal Reserve to identify shocks to the economy on a timely basis. Australian bond prices seem to be less informative than their US counterparts, perhaps because Australia is a relatively small and open economy.

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Bibliographic Info

Paper provided by Reserve Bank of Australia in its series RBA Research Discussion Papers with number rdp2006-05.

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Date of creation: Jun 2006
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Handle: RePEc:rba:rbardp:rdp2006-05

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Related research

Keywords: monetary policy; imperfect information; bond market; term structure of interest rates;

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References

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  1. Leonardo Bartolini & Giuseppe Bertola & Alessandro Prati, 2000. "Day-to-day monetary policy and the volatility of the federal funds interest rate," Staff Reports 110, Federal Reserve Bank of New York.
  2. John Y. Campbell & John H. Cochrane, 1994. "By force of habit: a consumption-based explanation of aggregate stock market behavior," Working Papers 94-17, Federal Reserve Bank of Philadelphia.
  3. Harvey, Campbell R., 1988. "The real term structure and consumption growth," Journal of Financial Economics, Elsevier, vol. 22(2), pages 305-333, December.
  4. Hordahl, Peter & Tristani, Oreste & Vestin, David, 2006. "A joint econometric model of macroeconomic and term-structure dynamics," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 405-444.
  5. Marvin Goodfriend, 1998. "Using the term structure of interest rates for monetary policy," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 13-30.
  6. Tore Ellingsen & Ulf Soderstrom, 2001. "Monetary Policy and Market Interest Rates," American Economic Review, American Economic Association, vol. 91(5), pages 1594-1607, December.
  7. Andrew Ang & Monika Piazzesi & Min Wei, 2004. "What Does the Yield Curve Tell us about GDP Growth?," NBER Working Papers 10672, National Bureau of Economic Research, Inc.
  8. Svensson, Lars E. O. & Woodford, Michael, 2004. "Indicator variables for optimal policy under asymmetric information," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 661-690, January.
  9. Amato, Jeffery D. & Laubach, Thomas, 2004. "Implications of habit formation for optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 305-325, March.
  10. Andrew Ang & Monika Piazzesi, 2001. "A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables," NBER Working Papers 8363, National Bureau of Economic Research, Inc.
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Cited by:
  1. Timothy Kam & Kirdan Lees & Philip Liu, 2006. "Uncovering The Hit-List For Small Inflation Targeters: A Bayesian Structural Analysis," ANU Working Papers in Economics and Econometrics 2006-473, Australian National University, College of Business and Economics, School of Economics.

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