Loss Forecasting
Loss forecasting projects future claims cost based on current loss experience, rather than assumptions set when a program was first structured. This is designed for organizations whose retention and collateral levels haven't been tested against how their risk has evolved.
Why It Matters
Retention levels drift quietly after the first year
Retention and collateral levels set at a program's inception rarely get re-tested, so as loss experience changes, those levelscan drift out of alignment with actual risk. Retention levels are rarely wrong on day one; they're wrong three years later, after no one has revisited them against current loss forecasting.
HUB's Approach
A forecast tied directly to retention and collateral decisions
HUB's loss forecasting projects future claims cost from an organization's actual, current loss experience, rather than relying on the assumptions used when retention and collateral levels were first set. This forecast is updated on an ongoing basis, not produced once and treated as a fixed reference point.
Because retention and collateral decisions depend directly on an accurate forecast, HUB ties this output to those specific decisions, rather than delivering a standalone report disconnected from what an organization does with it. This is coordinated within HUB's broader risk management information system (RMIS) platform, where claims and exposure data feed the forecast directly rather than requiring a separate data-gathering exercise each time.
Insights for Your Business
Loss forecasting insight and research
