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The contribution of cyclical turning point indicators to business cycle analysis

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  • Ferrara, L.

Abstract

Two indicators are proposed: the fi rst is the probabilistic indicator of the acceleration cycle (IPCA – indicateur probabiliste du cycle d’accélération), which aims to detect economic acceleration and deceleration phases. The second is the probabilistic industrial recession indicator (IPRI – indicateur probabiliste de récession industrielle), which aims to estimate the probability of a recession in the industrial sector.

Suggested Citation

  • Ferrara, L., 2008. "The contribution of cyclical turning point indicators to business cycle analysis," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 49-61, Autumn.
    • Handle: RePEc:bfr:quarte:2008:13:04
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    References listed on IDEAS

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    2. Adanero-Donderis , M. & Darné, O. & Ferrara, L., 2007. "Deux indicateurs probabilistes de retournement cyclique pour l’économie française," Working papers 187, Banque de France.
    3. Ilse Mintz, 1969. "Methods of Dating Business Cycles," NBER Chapters, in: Dating Postwar Business Cycles: Methods and Their Application to Western Germany, 1950–67, pages 7-9, National Bureau of Economic Research, Inc.
    4. Ilse Mintz, 1969. "Dating Postwar Business Cycles: Methods and Their Application to Western Germany, 1950–67," NBER Books, National Bureau of Economic Research, Inc, number mint69-1, May.
    5. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Sébastien Le Coent & Erwan Gautier & Benoît Bellone, 2006. "Les marchés financiers anticipent-ils les retournements conjoncturels ?," Économie et Prévision, Programme National Persée, vol. 172(1), pages 83-99.
    8. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    9. Jean-Philippe Cotis & Jonathan Coppel, 2005. "Business Cycle Dynamics in OECD Countries: Evidence, Causes and Policy Implications," RBA Annual Conference Volume (Discontinued), in: Christopher Kent & David Norman (ed.),The Changing Nature of the Business Cycle, Reserve Bank of Australia.
    10. Olivier Bandt & Heinz Herrmann & Giuseppe Parigi, 2006. "Convergence or Divergence in Europe?," Springer Books, Springer, number 978-3-540-32611-3, December.
    11. Ilse Mintz, 1969. "Summary to "Dating Postwar Business Cycles: Methods and Their Application to Western Germany, 1950–67"," NBER Chapters, in: Dating Postwar Business Cycles: Methods and Their Application to Western Germany, 1950–67, pages 53-54, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Stéphane GOUTTE & Benteng Zou, 2011. "Foreign exchange rates under Markov Regime switching model," DEM Discussion Paper Series 11-16, Department of Economics at the University of Luxembourg.
    2. Stéphane Goutte & Benteng Zou, 2012. "Continuous time regime switching model applied to foreign exchange rate," Working Papers hal-00643900, HAL.

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    More about this item

    Keywords

    economic cycles; turning points; acceleration cycle; probabilistic indicators; Markov chain models.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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