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Mesurer en temps réel les anticipations par les marchés financiers du retournement de l’activité économique

Author

Listed:
  • Tamaki Descombes
  • Clément Torres
  • Paul Sabalot

Abstract

Dans un environnement économique marqué par une incertitude accrue et des retournements conjoncturels rapides, l’analyse macroéconomique repose largement sur des modèles économétriques destinés à suivre et prévoir l’évolution de l’activité. Ces modèles, qui s’appuient principalement sur des indicateurs et enquêtes disponibles à une fréquence mensuelle ou trimestrielle, ne sont pas conçus pour intégrer en temps réel les inflexions du cycle économique. En complément, les analystes exploitent donc les variables financières qui, en principe, reflètent en continu les anticipations des marchés. Ainsi, une inversion de la courbe des taux (des taux longs inférieurs aux taux courts) signale généralement que les marchés s’attendent à un ralentissement de l’activité. Cet article introduit un nouvel indicateur qui utilise des techniques d’apprentissage automatique et vise à mesurer la manière dont les marchés anticipent le risque de retournement du cycle économique aux États Unis et en Europe, à partir d’un vaste ensemble de variables financières.

Suggested Citation

  • Tamaki Descombes & Clément Torres & Paul Sabalot, 2026. "Mesurer en temps réel les anticipations par les marchés financiers du retournement de l’activité économique," Bulletin de la Banque de France, Banque de France, issue 264.
  • Handle: RePEc:bfr:bullbf:2026:264:02
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    File URL: https://www.banque-france.fr/system/files/2026-06/BDF264-2_Anticipations-march%C3%A9s_web.pdf
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    References listed on IDEAS

    as
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