Deep deterministic portfolio optimization

Can deep reinforcement learning algorithms be exploited as solvers for optimal trading strategies? The aim of this work is to test reinforcement learning algorithms on conceptually simple, but mathematically non-trivial, trading environments. The environments are chosen such that an optimal or close...

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Bibliographic Details
Main Authors: Ayman Chaouki, Stephen Hardiman, Christian Schmidt, Emmanuel Sérié, Joachim de Lataillade
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-11-01
Series:Journal of Finance and Data Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405918820300118