Skip to content
PIXIE
FederatoIntact
BUNDLED SAMPLES

Commercial property · historical backtest

Validation

What the guideline would have decided, and what happened afterwards.

Open report JSON
Bound property policies
27

Historical outcome cohort

Premium
$6.7M

Across 27 policies

Incurred losses
$12.6M

Paid plus reserved, including expense

Aggregate loss ratio
1.89×

Incurred divided by premium

Known miss · engine would accept

PR-2026-1081

The policy met appetite when it arrived. Its later incurred losses show why appetite fit alone cannot establish a profitable risk.

Incurred losses
$629,200
Premium
$58,800
Loss ratio
10.70×

Outcomes by engine decision

Each policy was scored as of its received date. Loss history includes only earlier claims.

DecisionPoliciesPremiumIncurredLoss ratio
accept1$59K$629K10.70×
open0$0$0No policies
decline26$6.6M$12M1.81×
All property27$6.7M$12.6M1.89×

Small historical sample. These results do not establish predictive accuracy or production readiness.

Where the book breaks the guideline

Bound policies that each written factor would decline. A policy can appear under several factors.

premium above $175,00017 / 27
premium below $50,0002 / 27
state outside 2025 list13 / 27
TIV above $150,000,0000 / 27
building age11 / 27
construction12 / 27
prior loss history13 / 27
renewal business7 / 27

What the existing enrichment changed

The recorded comparison switches FEMA, USGS, weather and portfolio adjustments on and off across 38 scored submissions.

0decision tiers changed
38 / 38score intervals moved
7.2points, median absolute midpoint move
5 / 6open submissions reranked

no decision tier changed: the property declines are structural hard fails (state, age, loss history), which external layers cannot move

Open submissionLargest contributionWithout enrichmentWith enrichmentMidpoint change
Case #143earthquake · ×1.063024.1-5.9
Case #126severe weather · ×1.063026.1-3.9
Case #141severe weather · ×1.063026.1-3.9

The new county and climate map layers are context only. This report does not test them, and they do not change the appetite score.

Human decline reasons · 11 decisions

3 broker withdrawals are excluded. This cohort spans several business lines; routing a case outside the property guideline is not agreement with a human decline.

Human reasonCasesBusiness linesDesk responsibilityMatching reason
loss history3cyber 1, health 1, property 1Appetite1
cat exposure aggregation2auto 1, health 1Portfolio0
outside appetite2health 2Appetite0
insufficient controls4auto 1, cgl 2, health 1Intake0
broker withdrew3cgl 1, cyber 1, lpl 1ExcludedExcluded
Method, cohorts & limitations

Outcome cohort: 27 bound property policies. Status mix: active 15, expired 9, non renewed 3. Enrichment cohort: 38 scored property submissions. These are different denominators.

Loss ratio is incurred losses divided by premium, not a probability of a claim. The uncertainty range comes from written rules and incomplete facts; it is not a statistically calibrated confidence interval.

Pre-registration reference: 5351f2340c0009d42e5a68c8d8eb41738f6ffa18

Recorded backtest snapshot against the 2025 property guideline. Changing the current rulebook or adding map layers does not rerun this report. The report JSON contains the underlying policy and case rows.