Welcome to the Mostly Optimal Applications of the Ergodic-Insurance-Limits Python package, designed to help risk professionals make more informed decisions about insurance coverage limits and risk retention strategies.
What You’ll Find Here
These applications demonstrate how ergodic optimization principles can be applied to real-world insurance and risk management challenges. Each application includes:
- Interactive analysis using realistic data and scenarios
- Quantitative frameworks for evaluating insurance decisions beyond traditional risk metrics
- Practical insights for professionals navigating complex coverage decisions
For Risk Professionals
Whether you’re evaluating catastrophic coverage limits, optimizing risk retention strategies, or challenging conventional wisdom about “adequate” insurance levels, these applications provide a rigorous, time-average perspective on insurance decision-making.
The Python package enables you to adapt these analyses to your organization’s specific risk profile and constraints.
Additional applications will be added regularly as we explore new use cases and risk scenarios.