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The Role of Common Cyclical Features for Coincident and Leading Indexes Building

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Author Info
Cubadda, Gianluca ()
Hecq, Alain

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Abstract

In this paper we propose a new methodology to build composite coincident and leading indexes. Based on a formal definition which requires that the first difference of the leading index is the best linear predictor of the first difference of the coincident index, we show that the notion of polynomial serial correlation common features can be used to build these composite variables. Concepts and methods are illustrated by an empirical investigation of the US business cycle movements.

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File URL: http://www.unimol.it/progetti/repec/mol/ecsdps/ESDP03002.pdf
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Publisher Info
Paper provided by University of Molise, Dept. SEGeS in its series Economics & Statistics Discussion Papers with number esdp03002.

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Length: 27 pages
Date of creation: 14 Apr 2003
Date of revision:
Handle: RePEc:mol:ecsdps:esdp03002

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Related research
Keywords: Coincident and Leading Indexes; Common Cyclical Features; Reduced Rank Regression.;

Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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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. Vahid, Farshid & Engle, Robert F., 1997. "Codependent cycles," Journal of Econometrics, Elsevier, vol. 80(2), pages 199-221, October. [Downloadable!] (restricted)
  2. Rebecca A Emerson & David Hendry, 1994. "An evaluation of forecasting using leading indicators," Economics Papers 5., Economics Group, Nuffield College, University of Oxford. [Downloadable!]
  3. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 369-80, October.
    Other versions:
  4. Clive Granger & GAWON YOON, 2001. "Self-Generating Variables in a Cointegrated VAR Framework," University of California at San Diego, Economics Working Paper Series 2001-04, Department of Economics, UC San Diego. [Downloadable!]
  5. James H. Stock & Mark W. Watson, 1992. "A Procedure for Predicting Recessions With Leading Indicators: Econometric Issues and Recent Experience," NBER Working Papers 4014, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  6. Gianluca Cubadda, 1999. "Common serial correlation and common business cycles: A cautious note," Empirical Economics, Springer, vol. 24(3), pages 529-535. [Downloadable!] (restricted)
  7. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2002. "Separation, Weak Exogeneity, And P-T Decomposition In Cointegrated Var Systems With Common Features," Econometric Reviews, Taylor and Francis Journals, vol. 21(3), pages 273-307. [Downloadable!] (restricted)
    Other versions:
  8. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-60, Oct.-Dec.. [Downloadable!] (restricted)
    Other versions:
  9. Banerji, Anirvan & Hiris, Lorene, 2001. "A framework for measuring international business cycles," International Journal of Forecasting, Elsevier, vol. 17(3), pages 333-348. [Downloadable!] (restricted)
  10. 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. [Downloadable!]
    Other versions:
  11. Issler, João Victor & Vahid, Farshid, 2002. "The Missing Link: Using the NBER Recession Indicator to Construct Coincident and Leading Indices of Economic Activity," Economics Working Papers (Ensaios Economicos da EPGE) 450, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
    Other versions:
  12. Toru Konishi & Clive Granger, 1992. "Separation in Cointegrated Systems," University of California at San Diego, Economics Working Paper Series 92-51, Department of Economics, UC San Diego.
  13. Vahid, Farshid & Issler, Joao Victor, 2002. "The importance of common cyclical features in VAR analysis: a Monte-Carlo study," Journal of Econometrics, Elsevier, vol. 109(2), pages 341-363, August. [Downloadable!] (restricted)
    Other versions:
  14. James H. Stock & Mark W. Watson, 1988. "A Probability Model of The Coincident Economic Indicators," NBER Working Papers 2772, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  15. Anders Rahbek & Rocco Mosconi, 1999. "Cointegration rank inference with stationary regressors in VAR models," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 76-91.
  16. Lippi, Marco & Reichlin, Lucrezia, 1994. "Common and uncommon trends and cycles," European Economic Review, Elsevier, vol. 38(3-4), pages 624-635, April. [Downloadable!] (restricted)
  17. Cubadda, Gianluca & Hecq, Alain, 2001. "On non-contemporaneous short-run co-movements," Economics Letters, Elsevier, vol. 73(3), pages 389-397, December. [Downloadable!] (restricted)
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