TemblorCat is the first globally consistent insurance loss model. Magnitude 6 to 9 events are drawn using machine learning from the Global Earthquake Activity Rate (GEAR) model, supplemented by the highest quality national seismic catalogs available. We make no assumptions about characteristic earthquakes; we assign no maximum magnitudes, fault lengths, or fault slip rates; and we impose no area sources. Shaking is propagated from each earthquake source and is corrected for site amplification at each building location. To transform shaking into mean damage ratios, our machine learning model furnishes robust loss ratio curves from the USGS PAGER ExpoCat of 5,000 earthquakes (which, crucially, includes incidences of zero loss).
EVENTSET2FMKat is compatible with the KatRisk® sampling and financial module, FMKat. When processed in FMKat, all standard EP curves, year loss tables, and summary statistics are generated in either csv or binary files. FMKat computes all insurance contracts (ground up, gross, net, and reinsurance losses at site, policy, account, and portfolio level) with transparent rules based on sampled location coverage losses by event. Thus, EVENTSET2FMKat is compatible with your existing workflow, without any customization needed: It’s turnkey.
