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Daily monetary policy shocks and new home sales

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  • Hamilton, James D.

Abstract

The conventional notion of a monetary policy shock as a surprise change in the fed funds rate is misspecified. The primary news for market participants is not what the Fed just did, but is instead new information about the Fed's future intentions. Revisions in these anticipations show up instantaneously in long-term mortgage rates. Home sales do not respond until much later. This paper attributes this delay--and hence much of the hump-shaped response of economic activity to monetary policy--to cross-sectional heterogeneity in search times. This framework allows one in principle to measure policy impacts at the daily frequency.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 55 (2008)
Issue (Month): 7 (October)
Pages: 1171-1190

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Handle: RePEc:eee:moneco:v:55:y:2008:i:7:p:1171-1190

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Web page: http://www.elsevier.com/locate/inca/505566

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Keywords: Monetary policy Housing Fed funds rate Policy lags;

References

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  1. Reis, Ricardo, 2005. "Inattentive Consumers," CEPR Discussion Papers 5053, C.E.P.R. Discussion Papers.
  2. Monika Piazzesi & Eric Swanson, 2004. "Future prices as risk-adjusted forecasts of monetary policy," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
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  7. William Poole & Robert Rasche, 2000. "Perfecting the Market's Knowledge of Monetary Policy," Journal of Financial Services Research, Springer, vol. 18(2), pages 255-298, December.
  8. Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," CIRANO Working Papers 2004s-20, CIRANO.
  9. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2006. "Market-based measures of monetary policy expectations," Working Paper Series 2006-04, Federal Reserve Bank of San Francisco.
  10. Andersson, Malin & Dillen, Hans & Sellin, Peter, 2006. "Monetary policy signaling and movements in the term structure of interest rates," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1815-1855, November.
  11. Refet S. Gürkaynak, 2005. "Using federal funds futures contracts for monetary policy analysis," Finance and Economics Discussion Series 2005-29, Board of Governors of the Federal Reserve System (U.S.).
  12. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
  13. Kuttner, Kenneth N., 2001. "Monetary policy surprises and interest rates: Evidence from the Fed funds futures market," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 523-544, June.
  14. Nakamura, Alice & Nakamura, Masao, 1981. "On the Relationships among Several Specification Error Tests Presented by Durbin, Wu, and Hausman," Econometrica, Econometric Society, vol. 49(6), pages 1583-88, November.
  15. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," University of California at Los Angeles, Anderson Graduate School of Management qt9mf223rs, Anderson Graduate School of Management, UCLA.
  16. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense? A Reply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 943-48, November.
  17. Rudebusch, G.D., 1996. "Do Measures of Monetary Policy in a VAR Make Sense?," Papers 269, Banca Italia - Servizio di Studi.
  18. James D. Hamilton, 2008. "Daily Monetary Policy Shocks and the Delayed Response of New Home Sales," NBER Working Papers 14223, National Bureau of Economic Research, Inc.
  19. James D. Hamilton, 2008. "Assessing monetary policy effects using daily federal funds futures contracts," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 377-394.
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Citations

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Cited by:
  1. Blake LeBaron, 2013. "Heterogeneous Agents and Long Horizon Features of Asset Prices," Working Papers 63, Brandeis University, Department of Economics and International Businesss School, revised Sep 2013.
  2. White, Halbert & Pettenuzzo, Davide, 2014. "Granger causality, exogeneity, cointegration, and economic policy analysis," Journal of Econometrics, Elsevier, vol. 178(P2), pages 316-330.
  3. Di Maggio, Marco, 2010. "The Political Economy of the Yield Curve," MPRA Paper 20697, University Library of Munich, Germany.
  4. Andra C. Ghent & Michael T. Owyang, 2009. "Is housing the business cycle? evidence from U.S. cities," Working Papers 2009-007, Federal Reserve Bank of St. Louis.
  5. James D. Hamilton & Seth Pruitt & Scott C. Borger, 2009. "The market-perceived monetary policy rule," International Finance Discussion Papers 982, Board of Governors of the Federal Reserve System (U.S.).
  6. Barakchian, S. Mahdi & Crowe, Christopher, 2013. "Monetary policy matters: Evidence from new shocks data," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 950-966.
  7. Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2013. "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," CFS Working Paper Series 2013/22, Center for Financial Studies (CFS).

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