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Une analyse temps-fréquence des cycles financiers

Author

Listed:
  • Christophe Boucher

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Bertrand Maillet

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper studies the role of fluctuations in the aggregate price-earning ratio at different time-scales, for predicting stock returns and exploring the channels through which returns are forecasted. Using us quarterly data, we find that cycles in the price-earning ratio are strong and better predictors of future returns than the aggregate price-earning ratio and several other popular forecasting variables. The proposed method, based on a wavelet multi-scaling analysis, explicitly accounts for the variations at different time scales in the expected cash-flow growth and expected returns.

Suggested Citation

  • Christophe Boucher & Bertrand Maillet, 2011. "Une analyse temps-fréquence des cycles financiers," Post-Print hal-00755499, HAL.
    • Handle: RePEc:hal:journl:hal-00755499
    DOI: 10.3917/reco.623.0441
    as

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