Reinforcement Learning for Corporate Bond Trading: A Sell Side Perspective
By Samuel Atkins, Ali Fathi, Sammy Assefa
Rating
1307
Battle Count: 102
Relevance
9/10
Directly applicable to market making in corporate bond trading
Implementation Complexity
7/10
Requires understanding of RL algorithms and corporate bond trading dynamics
Reproducibility
3/5
Code not provided but methodology is well-described
About this paper
Methodology: Reinforcement Learning. Problem types: Reinforcement Learning, Market Making.
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