Mean Field Game of High-Frequency Anticipatory Trading
By Xue Cheng, Meng Wang, Ziyi Xu
Rating
1363
Battle Count: 222
Relevance
9/10
Highly relevant for understanding the dynamics between large traders and HFTs, and for developing optimal execution strategies
Implementation Complexity
8/10
Requires advanced mathematical knowledge and computational skills to implement the mean field game approach
Reproducibility
3/5
Theoretical model with numerical simulations provided, but no real-world data used
About this paper
Methodology: Mean Field Game. Problem types: Optimization, Market Making, Algorithmic Execution.
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