Optimizing Market Making Models - Prof. Rahul Savani | OxML23

Prof. Rahul Savani delves into the core of market making models, highlighting the role of stochastic control and reinforcement learning in achieving optimal solutions. By comparing theoretical models with reinforcement learning outcomes, Prof. Savani provides a unique perspective on policy and performance in financial markets. Whether you're a seasoned professional or new to financial technology, this presentation offers valuable insights into the development and evaluation of market making strategies. Join us for a deep dive into the fascinating world of financial modeling and discover how theoretical and practical approaches converge. #MarketMaking #FinancialTechnology #ReinforcementLearning