In this seminar, Alex Filiakov (ACAS) presents Ergodic-Insurance, a free, open-source Python library that applies ergodicity economics to the corporate insurance-buying problem.

For a company that lives one path through time, wealth compounds at the time-average growth rate, which can differ sharply from the expected value used in actuarial pricing. Using a $5M manufacturer over a 25-year horizon, the talk applies Hamilton-Jacobi-Bellman dynamic programming to find a wealth-dependent retention strategy that pays premiums above expected losses, yet raises long-run growth and cuts ruin risk versus self-insurance. A reproducible Colab notebook accompanies the talk.

This is an online event. We look forward to seeing you there!