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A dynamic factor analysis of the response of U. S. interest rates to news

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  • Marco Lippi
  • Daniel L. Thornton

Abstract

This paper uses a dynamic factor model recently studied by Forni, Hallin, Lippi and Reichlin (2000) and Forni, Giannone, Lippi and Reichlin (2004) to analyze the response of 21 U.S. interest rates to news. Using daily data, we find that the news that affects interest rates daily can be summarized by two common factors. This finding is robust to both the sample period and time aggregation. Each rate has an important idiosyncratic component; however, the relative importance of the idiosyncratic component declines as the frequency of the observations is reduced, and nearly vanishes when rates are observed at the monthly frequency. Using an identification scheme that allows for the fact that when policy actions are unknown to the market the funds rate should respond first to policy actions, we are unable to identify a unique effect of monetary policy in the funds rate at the daily frequency.

Suggested Citation

  • Marco Lippi & Daniel L. Thornton, 2004. "A dynamic factor analysis of the response of U. S. interest rates to news," Working Papers 2004-013, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2004-013
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    References listed on IDEAS

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    1. Lucio Sarno & Daniel L. Thornton & Yi Wen, 2007. "What's Unique About the Federal Funds Rate? Evidence from a Spectral Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 293-319, April.
    2. Duffee, Gregory R, 1996. "Idiosyncratic Variation of Treasury Bill Yields," Journal of Finance, American Finance Association, vol. 51(2), pages 527-551, June.
    3. Sarno, Lucio & Thornton, Daniel L & Valente, Giorgio, 2005. "Federal Funds Rate Prediction," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 449-471, June.
    4. Lucio Sarno & Daniel L. Thornton, 2004. "The efficient market hypothesis and identification in structural VARs," Review, Federal Reserve Bank of St. Louis, vol. 86(Jan), pages 49-60.
    5. Hamilton, James D, 1997. "Measuring the Liquidity Effect," American Economic Review, American Economic Association, vol. 87(1), pages 80-97, March.
    6. John B. Taylor, 2001. "Expectations, open market operations, and changes in the federal funds rate," Review, Federal Reserve Bank of St. Louis, vol. 83(Jul), pages 33-58.
    7. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009. "Opening The Black Box: Structural Factor Models With Large Cross Sections," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1319-1347, October.
    8. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    9. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    10. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 907-931, November.
    11. Lippi, Marco & Reichlin, Lucrezia & Forni, Mario, 2003. "Opening the Black Box: Structural Factor Models versus Structural VARs," CEPR Discussion Papers 4133, C.E.P.R. Discussion Papers.
    12. Daniel L. Thornton, 2001. "Identifying the liquidity effect at the daily frequency," Review, Federal Reserve Bank of St. Louis, vol. 83(Jul), pages 59-82.
    13. 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 943-948, November.
    14. William Poole & Robert H. Rasche & Daniel L. Thornton, 2002. "Market anticipations of monetary policy actions," Review, Federal Reserve Bank of St. Louis, vol. 84(Jul), pages 65-94.
    15. Garfinkel, Michelle R & Thornton, Daniel L, 1995. "The Information Content of the Federal Funds Rate: Is It Unique?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 838-847, August.
    16. Thornton, Daniel L., 2004. "The Fed and short-term rates: Is it open market operations, open mouth operations or interest rate smoothing?," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 475-498, March.
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    Cited by:

    1. Paramita Mukherjee & Malabika Roy, 2016. "What Drives the Stock Market Return in India? An Exploration with Dynamic Factor Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 15(1), pages 119-145, April.
    2. Moneta, Fabio & Rüffer, Rasmus, 2006. "Business cycle synchronisation in East Asia," Working Paper Series 671, European Central Bank.
    3. Nilufer Ozdemir, 2012. "Emerging Market Countries’ Access to International Financial Markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(2), pages 215-226, May.
    4. Fladung, Michael, 2007. "Spill-over effects of monetary policy: a progress report on interest rate convergence in Europe," Discussion Paper Series 1: Economic Studies 2007,27, Deutsche Bundesbank.

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