Deep Hedging with Market Impact

By Andrei Neagu, Frédéric Godin, Clarence Simard, Leila Kosseim

Rating

1552
Battle Count: 27

Relevance

9/10
Highly relevant for option hedging strategies in markets with limited liquidity and significant market impact

Implementation Complexity

7/10
Requires implementation of complex market dynamics and Deep Reinforcement Learning algorithms

Reproducibility

3/5
The paper provides detailed model specifications and parameter values, but code is not explicitly shared

About this paper

Methodology: Deep Reinforcement Learning. Problem types: Reinforcement Learning, Optimization, Risk Management.

The interactive Everscope explorer (charts, battles, favorites) loads below.