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Une analyse temps-fréquences des cycles financiers

Author

Listed:
  • Christophe Boucher
  • Bertrand Maillet

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. Classification JEL : C22, G12, G17.

Suggested Citation

  • Christophe Boucher & Bertrand Maillet, 2011. "Une analyse temps-fréquences des cycles financiers," Revue économique, Presses de Sciences-Po, vol. 62(3), pages 441-450.
    • Handle: RePEc:cai:recosp:reco_623_0441
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    Cited by:

    1. is not listed on IDEAS
    2. Christophe Boucher & Bertrand Maillet, 2012. "Prévoir sans persistance," Revue économique, Presses de Sciences-Po, vol. 63(3), pages 581-590.
    3. Christophe Boucher & Bertrand Maillet, 2012. "Prévoir sans persistance," Documents de travail du Centre d'Economie de la Sorbonne 12001, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Christophe Boucher & Bertrand Maillet, 2012. "Prévoir sans persistance," Post-Print halshs-00662771, HAL.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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