Portfolio Optimization Under Discrete Constraints
On Demand

In this webinar on mathematical portfolio optimization, you will learn how to formulate and solve portfolio optimization problems using Gurobi’s Python API and cutting-edge MIP technology. Portfolio optimization is essential for maximizing returns while minimizing risks, and Gurobi’s powerful software provides the tools needed to achieve these goals.

Quantitative analysts and portfolio managers will benefit from this webinar, as we delve into the modeling and solving capabilities of Gurobi for portfolio optimization problems. Our session will focus on incorporating discrete decisions into portfolio selection, such as cardinality constraints and transaction cost considerations.

Participants will learn how to easily model complex portfolio requirements and leverage MIP technology to gain valuable insights. Whether you’re new to portfolio optimization or looking to enhance your skills, this webinar offers practical guidance and real-world examples to help you make informed investment decisions.

Register now to view this webinar on deamnd and unlock the full potential of portfolio optimization with Gurobi. Don’t miss this opportunity to elevate your investment strategies and maximize returns.