Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model

Johann Lussange (), Stefano Vrizzi, Sacha Bourgeois-Gironde, Stefano Palminteri and Boris Gutkin
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Johann Lussange: DEC - Département d'Etudes Cognitives - ENS-PSL - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres
Stefano Vrizzi: DEC - Département d'Etudes Cognitives - ENS-PSL - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres, LNC2 - Laboratoire de Neurosciences Cognitives & Computationnelles - DEC - Département d'Etudes Cognitives - ENS-PSL - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INSERM - Institut National de la Santé et de la Recherche Médicale
Stefano Palminteri: LNC2 - Laboratoire de Neurosciences Cognitives & Computationnelles - DEC - Département d'Etudes Cognitives - ENS-PSL - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INSERM - Institut National de la Santé et de la Recherche Médicale
Boris Gutkin: LNC2 - Laboratoire de Neurosciences Cognitives & Computationnelles - DEC - Département d'Etudes Cognitives - ENS-PSL - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INSERM - Institut National de la Santé et de la Recherche Médicale

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Date: 2022-10-03
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Published in Computational Economics, 2022, ⟨10.1007/s10614-022-10249-3⟩

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Journal Article: Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03827363

DOI: 10.1007/s10614-022-10249-3

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