<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/9d5da01946c5479bb1c9fa2fecda30e9&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9d5da01946c5479bb1c9fa2fecda30e9-f5f75812caaa9c03.gif</thumbnail_url><duration>207.828</duration><title>Bridging Resilience Investments and Insurance Losses</title><description>This Loom introduces a tool called the loss distribution trend to connect resilience investments to insurance decision-making. It runs downstream of a CAT model by taking event-level losses, applying mitigation assumptions such as uniform reduction or hazard intensity condition curves, and then mapping results through deductible and coverage limit structures to split insured versus retained impacts. The tool also models reinsurance layers, where in the demo a roof upgrade produces about a 30% insured loss reduction but completely eliminates expected loss at the reinsurance layer because mitigated losses do not reach the attachment point. The creator notes the mechanics are illustrative and output validity depends on engineering inputs and claims data, and requests collaboration from data and engineering partners, institutional users to pressure-test operational relevance, and pilot partners for resilience-linked lending or portfolios.</description></oembed>