Deep learning solution to mean field game of optimal liquidation
Year of publication: |
2025
|
---|---|
Authors: | Zhang, Shuhua ; Qian, Shenghua ; Wang, Xinyu ; Cheng, Yilin |
Published in: |
Finance research letters. - New York : Elsevier Science, ISSN 1544-6123, ZDB-ID 2145766-9. - Vol. 73.2025, Art.-No. 106663, p. 1-10
|
Subject: | Deep Galerkin method | Deep learning | High-dimensionality | Mean field games | Optimal liquidation |
-
Mean field game of controls and an application to trade crowding
Cardaliaguet, Pierre, (2018)
-
Variable Selection in High Dimensional Linear Regressions with Parameter Instability
Chudik, Alexander, (2023)
-
The performance of shrinkage estimator for stock portfolio selection in case of high dimensionality
Thalassinos, Eleftherios, (2022)
- More ...
-
Pollution Abatement Using Cap-and-Trade in a Dynamic Supply Chain and its Coordination
Wang, Xinyu, (2022)
-
Compatibility and distribution strategies of asymmetric competing digital platforms
Zhang, Shuhua, (2024)
-
Dynamic order allocation in a duopoly hybrid workforce of competition : a machine learning approach
Wang, Xinyu, (2024)
- More ...