Bubble Detection with Application to Green Bubbles: A Noncausal Approach

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Date

20 mai 2025

Type de document
Périmètre
Identifiant
  • 2505.14911
Collection

arXiv

Organisation

Cornell University




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Francesco Giancaterini et al., « Bubble Detection with Application to Green Bubbles: A Noncausal Approach », arXiv - économie


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This paper introduces a new approach to detect bubbles based on mixed causal and noncausal processes and their tail process representation during explosive episodes. Departing from traditional definitions of bubbles as nonstationary and temporarily explosive processes, we adopt a perspective in which prices are viewed as following a strictly stationary process, with the bubble considered an intrinsic component of its non-linear dynamics. We illustrate our approach on the phenomenon referred to as the "green bubble" in the field of renewable energy investment.

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