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This is what the US leading indicators lead

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Author Info
Maximo Camacho () (Autonomous University of Barcelona, Department of Economics, Avda. Diagonal 690, 08034 Barcelona, Spain.)
Gabriel Perez-Quiros (Government of the Kingdom of Spain, Economic Bureau of the President, 28071 Madrid, Spain.)

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Abstract

We propose an optimal filter to transform the Conference Board Composite Leading Index (CLI) into recession probabilities in the US economy. We also analyze the CLI's accuracy at anticipating US output growth. We compare the predictive performance of linear, VAR extensions of smooth transition regression and switching regimes, probit, nonparametric models and conclude that a combination of the switching regimes and nonparametric forecasts is the best strategy at predicting both the NBER business cycle schedule and GDP growth. This confirms the usefulness of CLI, even in a real-time analysis. JEL Classification: C32; C53.

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Publisher Info
Paper provided by European Central Bank in its series Working Paper Series with number 27.

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Length: 38 pages
Date of creation: Aug 2000
Date of revision:
Handle: RePEc:ecb:ecbwps:20000027

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Related research
Keywords: Leading indicators; turning points; optimal forecasting rule.;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Hamilton, James D & Perez-Quiros, Gabriel, 1996. "What Do the Leading Indicators Lead?," Journal of Business, University of Chicago Press, vol. 69(1), pages 27-49, January. [Downloadable!] (restricted)
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  2. Wecker, William E, 1979. "Predicting the Turning Points of a Time Series," Journal of Business, University of Chicago Press, vol. 52(1), pages 35-50, January. [Downloadable!] (restricted)
  3. Clive W. Granger & Timo Terasvirta & Heather M. Anderson, 1993. "Modeling Nonlinearity over the Business Cycle," NBER Chapters, in: Business Cycles, Indicators and Forecasting, pages 311-326 National Bureau of Economic Research, Inc. [Downloadable!]
  4. Diebold, Francis X & Rudebusch, Glenn D, 1990. "A Nonparametric Investigation of Duration Dependence in the American Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 98(3), pages 596-616, June. [Downloadable!] (restricted)
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  5. Li, David T & Dorfman, Jeffrey H, 1996. "Predicting Turning Points through the Integration of Multiple Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 421-28, October.
  6. Hess, Gregory D & Iwata, Shigeru, 1997. "Measuring and Comparing Business-Cycle Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 432-44, October.
  7. Diebold, Francis X & Rudebusch, Glenn D, 1989. "Scoring the Leading Indicators," Journal of Business, University of Chicago Press, vol. 62(3), pages 369-91, July. [Downloadable!] (restricted)
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  8. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
  9. Arturo Estrella & Frederic S. Mishkin, 1999. "Predicting U.S. Recessions: Financial Variables as Leading Indicators," NBER Working Papers 5379, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  10. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  11. James H. Stock & Mark W. Watson, 1993. "A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience," NBER Chapters, in: Business Cycles, Indicators and Forecasting, pages 95-156 National Bureau of Economic Research, Inc. [Downloadable!]
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  12. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Alain Hecq, 2005. "Should we really care about building business cycle coincident indexes!," Applied Economics Letters, Taylor and Francis Journals, vol. 12(3), pages 141-144, February. [Downloadable!] (restricted)
  2. Marcelle Chauvet & Elcyon C.R. Lima & Brisne Vasquez, 2002. "Forecasting Brazilian output in the presence of breaks: a comparison of linear and nonlinear models," Working Paper 2002-28, Federal Reserve Bank of Atlanta. [Downloadable!]
  3. Rolando Pelàez, 2007. "Ex ante forecasts of business-cycle turning points," Empirical Economics, Springer, vol. 32(1), pages 239-246, April. [Downloadable!] (restricted)
  4. Máximo Camacho & Gabriel Pérez-Quirós & Lorena Saiz, 2005. "Do european business cycles look like one?," Banco de España Working Papers 0518, Banco de España. [Downloadable!]
    Other versions:
  5. Ana Beatriz Galvão & Michael Artis & Massimiliano Marcellino, 2007. "The transmission mechanism in a changing world," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 39-61. [Downloadable!]
    Other versions:
  6. Maximo Camacho & Gabriel Perez-Quiros & Lorena Saiz & Universidad de Murcia, 2006. "Do european business cycles look like one $\_?$," Computing in Economics and Finance 2006 175, Society for Computational Economics. [Downloadable!]
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