19 August 2014Insurance

Poor boundary data can sting re/insurers

Re/insurers risk under-charging for certain perils and getting stung by higher than expected claims if they base the assumptions in their catastrophe models on inaccurate or outdated data.

Already registered?

Login to your account

For multi-user price options, or to check if your company has an existing subscription that we can add you to for FREE, please email Adrian Tapping at atapping@newtonmedia.co.uk

More on this story

Isaias insured losses likely between $1-$2bn: Verisk

14 October 2026 Large re/insurers’ earnings may be affected Q4 and full year.

Nearly 80% of insurers to increase AI investment over coming year

14 October 2026 Using AI primarily to reduce costs one of the least effective ways to generate value: SAS.

RT Specialty expands proprietary follow facility across specialty lines

14 October 2026 Provides up to 50% of a controlled layer, subject to underwriting approval.

More articles

Isaias insured losses likely between $1-$2bn: Verisk

US cyber losses hit nearly $21bn as SME protection gap persists, Triple-I warns

Nearly 80% of insurers to increase AI investment over coming year

RT Specialty expands proprietary follow facility across specialty lines

Zurich hires Axa Tianping executive to lead China growth

Flood Re names industry veteran as new chair

Corgi looks to Canopius executive to lead trucking underwriting

Secondary perils an outdated term, says Swiss Re

Copyright © intelligentinsurer.com 2024 | Headless Content Management with Blaze