UnfairGaps
🇦🇺Australia

Decision Errors in Catastrophe Modelling

2 verified sources

Definition

Catastrophe loss modeling requires rigorous validation of inputs, outputs, and assumptions to avoid decision errors in reinsurance purchasing and capital allocation. Failure to document data transfers, reconcile outputs, or assess model limitations results in unreliable PML estimates and unsuitable reinsurance structures.

Key Findings

  • Financial Impact: AUD 10-50M+ in unreserved losses per major event due to model discrepancies; global AAL $152B with Australia exposed to cyclone/earthquake/bushfire[1][4]
  • Frequency: Annual, per modelling cycle or reinsurance renewal
  • Root Cause: Manual data handling, lack of controls for model inputs/outputs, unassessed non-modelled perils like bushfire/flood

Why This Matters

This pain point represents a significant opportunity for B2B solutions targeting Claims Adjusting, Actuarial Services.

Affected Stakeholders

Actuaries, Underwriters, Reinsurance Managers

Action Plan

Run AI-powered research on this problem. Each action generates a detailed report with sources.

Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Related Business Risks