Nonlinear Relationships in Soybean Commodities Pairs Trading:Test by Deep Reinforcement Learning
Year of publication: |
[2023]
|
---|---|
Authors: | Liu, Jianhe ; Lu, Luze ; Zong, Xiangyu ; Xie, Baao |
Publisher: |
[S.l.] : SSRN |
Subject: | Sojabohne | Soybean | Theorie | Theory | Lernprozess | Learning process | Lernen | Learning |
-
A dynamic adoption model with Bayesian learning : an application to U.S. soybean farmers
Ma, Xingliang, (2015)
-
Capability building and learning : an emergent behavior approach
Andreu, Rafael, (2014)
-
Our (represented) world : a quantum-like object
Lambert-Mogiliansky, Ariane, (2015)
- More ...
-
Nonlinear relationships in soybean commodities Pairs trading-test by deep reinforcement learning
Liu, Bruce Jianhe, (2023)
-
Is China the price taker in soybean futures?
Liu, Bruce Jianhe, (2015)
-
Deep reinforcement learning for pairs trading : evidence from China black series futures
Guo, Minjia, (2024)
- More ...