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arXivDerivatives & Volatility

ARL-Based Multi-Action Market Making with Hawkes Processes and Variable Volatility

The study combines Adversarial Reinforcement Learning, Hawkes Processes, and variable volatility to enhance market-making strategies, showing improved adaptability in high-volatility conditions and better market simulations.

Featured in No. 111 on 29 Aug 2025 · 22 days after release · 3 citations today · published in Proceedings of the 5th ACM International Conference on AI in Finance

Released
7 Aug 2025
First featured
No. 111 · 29 Aug 2025
Citations (Semantic Scholar)
3
Influential citations
0
Published in
Proceedings of the 5th ACM International Conference on AI in Finance
Shares when featured
11
Identifier
doi:10.1145/3677052.3698695

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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