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...
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 |
Similar Items
-
Reinforcement learning for deep portfolio optimization
by: Ruyu Yan, et al.
Published: (2024-09-01) -
Financial portfolio optimization: an autoregressive deep reinforcement learning algorithm with learned intrinsic rewards
by: Lim, Magdalene Hui Qi
Published: (2024) -
Stochastic optimization of heuristic method rule to determine asset allocation to retirement portfolio
by: Aušra Klimavičienė
Published: (2011-03-01) -
Novel Deep Reinforcement Algorithm With Adaptive Sampling Strategy for Continuous Portfolio Optimization
by: Szu-Hao Huang, et al.
Published: (2021-01-01) -
Uncertainty-Aware Reinforcement Learning for Portfolio Optimization
by: Bayaraa Enkhsaikhan, et al.
Published: (2024-01-01)