Deep Hedging with transaction costs

Our machine learning and finance reading group is currently focusing on deep hedging, a technique applying machine learning techniques to the classic quantitative finance problem of hedging a derivative in an incomplete market. You can find slides from past talks here. I’ve re-recorded my own talk, which draws on a few papers I have read recently to discuss the application of deep hedging to problems with transaction costs. The video is here.