An Optimal Retention.
A hands-on, one-day workshop introducing practical actuarial techniques for earthquake insurance and reinsurance — combining statistical modeling with catastrophe risk analysis, from basic Python upward.
Take your actuarial and catastrophe risk modeling skills to the next level in this intensive one-day workshop.
This hands-on workshop introduces participants to practical actuarial techniques for earthquake insurance and reinsurance, combining statistical modeling with catastrophe risk analysis using Python.
Working through a full modeling pipeline — from a Generalized Pareto model of earthquake magnitudes to an Event Loss Table, from Monte-Carlo simulation to the choice of an optimal retention — participants leave with techniques they can carry straight back into practice.
The workshop will be led by academics and practitioners with experiences in the application of actuarial science in earthquake insurance/reinsurance.
The workshop will use Python and work through the following:
A working introduction to Basic Python — the foundation for every model built during the day.
Construct an Event Loss Table probabilistically for tectonic earthquakes, using the probability distribution of the moment magnitudes of the mainshocks, modelled by a Generalized Pareto Distribution (GPD).
Apply Collective Risk models and Monte-Carlo simulations to generate multi-scenario financial-loss risk, based on the chosen Average Recurrence Intervals of the tectonic earthquakes.
Use the Average Annual Loss (AAL) produced by the ELT, with certain assumptions, to obtain an optimal retention for an earthquake insurance or reinsurance business.
| Participant Category | Foreign (USD) | Indonesian (IDR) |
|---|---|---|
| IndoMS Member | — | 1,050,000 |
| Student | 80 | 800,000 |
| Academics | 230 | 2,300,000 |
| General Participants | 230 | 2,300,000 |
Limited capacity — register early to secure your spot.
We look forward to welcoming you to Bandung for a day of learning and collaboration. For questions about the workshop, reach out directly.