Overview
Machine learning is a tool being used for developing trading hedging strategies. This study investigates the use of deep reinforcement learning algorithms to hedge convexity and volatility (gamma and vega) in a system that includes transaction costs. It examines the optimal hedge strategy under three different objective functions: mean-variance trade-off, value at risk, and conditional value at risk.