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Persistence and Cycles in the US Federal Funds Rate

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  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana

Abstract

This paper uses long-range dependence techniques to analyse two important features of the US Federal Funds effective rate, namely its persistence and cyclical behaviour. It examines annual, monthly, bi-weekly and weekly data, from 1954 until 2010. Two models are considered. One is based on an I(d) specification with AR(2) disturbances and the other on two fractional differencing structures, one at the zero and the other at a cyclical frequency. Thus, the two approaches differ in the way the cyclical component of the process is modelled. In both cases we obtain evidence of long memory and fractional integration. The in-sample goodness-of-fit analysis supports the second specification in the majority of cases. An out-of-sample forecasting experiment also suggests that the long-memory model with two fractional differencing parameters is the most adequate one, especially over long horizons.

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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 4035.

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Date of creation: 2012
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Handle: RePEc:ces:ceswps:_4035

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Keywords: Federal Funds rate; persistence; cyclical behavior; fractional integration;

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  1. James D. Hamilton & Oscar Jorda, . "A model for the federal funds rate target," Department of Economics, California Davis - Department of Economics 99-07, California Davis - Department of Economics.
  2. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, Elsevier, vol. 105(1), pages 85-110, November.
  3. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 115(1), pages 147-180, February.
  4. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2006. "Forecasting electricity demand using generalized long memory," International Journal of Forecasting, Elsevier, Elsevier, vol. 22(1), pages 17-28.
  5. Clarida, Richard & Sarno, Lucio & Taylor, Mark P & Valente, Giorgio, 2005. "The Role of Asymmetries and Regime Shifts in the Term Structure of Interest Rates," CEPR Discussion Papers, C.E.P.R. Discussion Papers 4835, C.E.P.R. Discussion Papers.
  6. Hamilton, James D, 1996. "The Daily Market for Federal Funds," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 104(1), pages 26-56, February.
  7. Leonardo Bartolini & Giuseppe Bertola & Alessandro Prati, 2000. "Day-to-day monetary policy and the volatility of the federal funds interest rate," Staff Reports, Federal Reserve Bank of New York 110, Federal Reserve Bank of New York.
  8. Bernanke, Ben S & Blinder, Alan S, 1988. "Credit, Money, and Aggregate Demand," American Economic Review, American Economic Association, American Economic Association, vol. 78(2), pages 435-39, May.
  9. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, Elsevier, vol. 16(4), pages 451-476.
  10. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  11. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, Elsevier, vol. 80(2), pages 241-268, October.
  12. Lucio Sarno & Daniel L. Thornton & Giorgio Valente, 2004. "Federal funds rate prediction," Working Papers, Federal Reserve Bank of St. Louis 2002-005, Federal Reserve Bank of St. Louis.
  13. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, Elsevier, vol. 73(1), pages 5-59, July.
  14. Sarno, Lucio & Thornton, Daniel L, 2002. "The Dynamic Relationship Between the Federal Funds rate and the Treasury Bill Rate: An Empirical Investigation," CEPR Discussion Papers, C.E.P.R. Discussion Papers 3225, C.E.P.R. Discussion Papers.
  15. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, American Economic Association, vol. 82(4), pages 901-21, September.
  16. Sowell, Fallaw, 1992. "Modeling long-run behavior with the fractional ARIMA model," Journal of Monetary Economics, Elsevier, Elsevier, vol. 29(2), pages 277-302, April.
  17. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, Elsevier, vol. 13(2), pages 281-291, June.
  18. Costantini, Mauro & Kunst, Robert M., 2011. "On the Usefulness of the Diebold-Mariano Test in the Selection of Prediction Models," Economics Series, Institute for Advanced Studies 276, Institute for Advanced Studies.
  19. Tsay, Wen-Jen, 2000. "Long memory story of the real interest rate," Economics Letters, Elsevier, Elsevier, vol. 67(3), pages 325-330, June.
  20. Jeremy Couchman & Rukmani Gounder & Jen-Je Su, 2006. "Long memory properties of real interest rates for 16 countries," Applied Financial Economics Letters, Taylor and Francis Journals, Taylor and Francis Journals, vol. 2(1), pages 25-30, January.
  21. Bierens, Herman J., 1997. "Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the US price level and interest rate," Journal of Econometrics, Elsevier, Elsevier, vol. 81(1), pages 29-64, November.
  22. Margaret R. Maier & Nigel Meade, 2003. "Evidence of long memory in short-term interest rates," Journal of Forecasting, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 22(8), pages 553-568.
  23. Diebold, Francis X. & Rudebusch, Glenn D., 1989. "Long memory and persistence in aggregate output," Journal of Monetary Economics, Elsevier, Elsevier, vol. 24(2), pages 189-209, September.
  24. V.V. Anh & V.P. Knopova & N.N. Leonenko, 2004. "Continuous-Time Stochastic Processes with Cyclical Long-Range Dependence," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., Australian Statistical Publishing Association Inc., vol. 46(2), pages 275-296, 06.
  25. Ashley, Richard, 1998. "A new technique for postsample model selection and validation," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 22(5), pages 647-665, May.
  26. Lai, Kon S, 1997. "Long-Term Persistence in the Real Interest Rate: Some Evidence of a Fractional Unit Root," International Journal of Finance & Economics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 2(3), pages 225-35, July.
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