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Real-time Taylor rules and the federal funds futures market

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  • Charles L. Evans

Abstract

This article compares movements in the federal funds rate from 1987 through 1997 with predictions from the federal funds market and a Taylor rule using unemployment and core CPI data. Although a Taylor rule using revised data does about as well as the futures market predictions, the best real-time predictions would have produced forecast errors about 50 percent larger than the futures data.

Suggested Citation

  • Charles L. Evans, 1998. "Real-time Taylor rules and the federal funds futures market," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 22(Q III), pages 44-55.
    • Handle: RePEc:fip:fedhep:y:1998:i:qiii:p:44-55:n:v.22no.3
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    Cited by:

    1. Ippolito, Filippo & Ozdagli, Ali K. & Perez-Orive, Ander, 2018. "The transmission of monetary policy through bank lending: The floating rate channel," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 49-71.
    2. Gurkaynak, Refet S. & Sack, Brian T. & Swanson, Eric P., 2007. "Market-Based Measures of Monetary Policy Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 201-212, April.
    3. Karen E. Dynan & Douglas W. Elmendorf, 2001. "Do provisional estimates of output miss economic turning points?," Finance and Economics Discussion Series 2001-52, Board of Governors of the Federal Reserve System (U.S.).
    4. Domenico Giannone & Lucrezia Reichlin & Luca Sala, 2005. "Monetary Policy in Real Time," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 161-224, National Bureau of Economic Research, Inc.
    5. Piazzesi, Monika & Swanson, Eric T., 2008. "Futures prices as risk-adjusted forecasts of monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 677-691, May.
    6. Ozdagli, Ali & Velikov, Mihail, 2020. "Show me the money: The monetary policy risk premium," Journal of Financial Economics, Elsevier, vol. 135(2), pages 320-339.
    7. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    8. Filippo Ippolito & Ali K. Ozdagli & Ander Pérez Orive, 2013. "Is bank debt special for the transmission of monetary policy? Evidence from the stock market," Economics Working Papers 1384, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Huse, Cristian, 2011. "Term structure modelling with observable state variables," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3240-3252.
    10. Faust, Jon & Rogers, John H & Wright, Jonathan H, 2005. "News and Noise in G-7 GDP Announcements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 403-419, June.
    11. Dean Croushore & Tom Stark, 2003. "A Real-Time Data Set for Macroeconomists: Does the Data Vintage Matter?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 605-617, August.
    12. Akram, Q. Farooq, 2011. "Policy analysis in real time using IMF's monetary model," Economic Modelling, Elsevier, vol. 28(4), pages 1696-1709, July.
    13. Sequeira, John M., 2021. "Monetary policy surprises, stock returns, and financial and liquidity constraints, in an exchange rate monetary policy system," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 226-236.
    14. Ernst Konrad, 2009. "The impact of monetary policy surprises on asset return volatility: the case of Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(2), pages 111-135, June.
    15. Ali Ozdagli, 2014. "Financial Frictions and Reaction of Stock Prices to Monetary Policy Shocks," 2014 Meeting Papers 1360, Society for Economic Dynamics.
    16. Schmeling, Maik & Schrimpf, Andreas & Steffensen, Sigurd A.M., 2022. "Monetary policy expectation errors," Journal of Financial Economics, Elsevier, vol. 146(3), pages 841-858.
    17. Ali Ozdagli & Yifan Yu, 2012. "Monetary shocks and stock returns: identification through the impossible trinity," Working Papers 12-18, Federal Reserve Bank of Boston.
    18. M. D. Hayford & A. G. Malliaris, 2005. "How did the Fed react to the 1990s stock market bubble? Evidence from an extended Taylor rule," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 14, pages 223-232, World Scientific Publishing Co. Pte. Ltd..
    19. Adrienne Kearney & Raymond Lombra, 2003. "Fed funds futures and the news," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(4), pages 330-337, December.
    20. Sardor Sadykov, 2018. "The Modified Taylor Rule For Bank Of Uzbekistan On The Basis Of Mode Switching," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 14(2), pages 100-110.
    21. Kitchen, John, 2002. "A Note on Interest Rates and Structural Federal Budget Deficits," MPRA Paper 21069, University Library of Munich, Germany, revised Oct 2002.
    22. Guo, Haifeng & Hung, Chi-Hsiou D. & Kontonikas, Alexandros, 2022. "The Fed and the stock market: A tale of sentiment states," Journal of International Money and Finance, Elsevier, vol. 128(C).
    23. Chiara Scotti, 2006. "A bivariate model of Fed and ECB main policy rates," International Finance Discussion Papers 875, Board of Governors of the Federal Reserve System (U.S.).
    24. Kenneth B. Petersen & Vladimir Pozdnyakov, 2008. "Predicting the Fed," Working papers 2008-07, University of Connecticut, Department of Economics.
    25. Dean Croushore & Tom Stark, 2000. "A real-time data set for macroeconomists: does data vintage matter for forecasting?," Working Papers 00-6, Federal Reserve Bank of Philadelphia.

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