Taking Optimization to the Next Dimension: Scenario-Based Machine Learning for Insurance Portfolios

Traditional portfolio optimization techniques often fall short when dealing with multiple objectives and complex, non-linear constraints—especially in the insurance sector where risk capital requirements add an extra layer of complexity.

In this Insurance Asset Risk and Ortec Finance webinar we will explore how Scenario-Based Machine Learning (SBML) can redefine the optimization process by leveraging stochastic scenarios and advanced machine learning techniques.