We use deep distributional reinforcement learning (RL) to develop hedging strategies for a trader responsible for derivatives dependent on a particular underlying asset. The transaction costs associated with trading the underlying asset are usually quite small. Traders therefore tend to carry...

We consider a trader who is responsible for managing a portfolio of derivatives that evolves stochastically and depends on a single underlying asset. We use reinforcement learning to develop a strategy for bringing options into the portfolio to manage gamma and vega risk. The options are subject...