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Real-Time Tests of the Leading Economic Index: Do Changes in the Index Composition Matter?

Author

Listed:
  • Robert H. McGuckin

    (The Conference Board)

  • Ataman Ozyildirim

    (The Conference Board)

Abstract
This paper reports real-time out-of-sample tests of the ability of the U.S. Index Leading Economic Indicators (LEI) to forecast the economy using "composition-changing" "as-published" versions of the LEI. It is an extension of recent work that focused on forecasts with a "composition-constant" LEI. The results demonstrate that the LEI helps forecasts and compositional change in the LEI does not account for poor real-time out-of-sample forecast performance found in earlier work. Reviews of the historical record reinforce the findings.

Suggested Citation

  • Robert H. McGuckin & Ataman Ozyildirim, 2003. "Real-Time Tests of the Leading Economic Index: Do Changes in the Index Composition Matter?," Economics Program Working Papers 03-04, The Conference Board, Economics Program.
    • Handle: RePEc:cnf:wpaper:0304
    as

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    File URL: http://www.conference-board.org/economics/workingpapers.cfm?pdf=E-0012-03-WP
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    References listed on IDEAS

    as
    1. Geoffrey H. Moore & Julius Shiskin, 1967. "Indicators of Business Expansions and Contractions," NBER Books, National Bureau of Economic Research, Inc, number moor67-2.
    2. Maximo Camacho & Gabriel Perez-Quiros, 2002. "This is what the leading indicators lead," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 61-80.
    3. Geoffrey H. Moore, 1950. "Statistical Indicators of Cyclical Revivals and Recessions," NBER Books, National Bureau of Economic Research, Inc, number moor50-1.
    4. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1.
    5. repec:ucp:bknber:9780226978901 is not listed on IDEAS
    6. Wesley Clair Mitchell & Arthur F. Burns, 1938. "Statistical Indicators of Cyclical Revivals," NBER Books, National Bureau of Economic Research, Inc, number mitc38-1.
    7. Hamilton, James D & Perez-Quiros, Gabriel, 1996. "What Do the Leading Indicators Lead?," The Journal of Business, University of Chicago Press, vol. 69(1), pages 27-49, January.
    8. McGuckin, Robert H. & Ozyildirim, Ataman & Zarnowitz, Victor, 2007. "A More Timely and Useful Index of Leading Indicators," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 110-120, January.
    9. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Rua, Antonio & Nunes, Luis C., 2005. "Coincident and leading indicators for the euro area: A frequency band approach," International Journal of Forecasting, Elsevier, vol. 21(3), pages 503-523.
    2. Loría, Eduardo & Brito, L., 2004. "Is the Consumer Confidence Index a Sound Predictor of the Private Demand in the United States?," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-15, Diciembre.
    3. Sergey Smirnov, 2011. "Those Unpredictable Recessions," HSE Working papers WP BRP 02/EC/2011, National Research University Higher School of Economics.
    4. Levanon, Gad & Manini, Jean-Claude & Ozyildirim, Ataman & Schaitkin, Brian & Tanchua, Jennelyn, 2015. "Using financial indicators to predict turning points in the business cycle: The case of the leading economic index for the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 426-445.

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    More about this item

    Keywords

    Business cycle; Indicators; Leading index; Times series; Forecasting;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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