Determining Extreme Values for the Insurance Sector

Lead Research Organisation: University College London
Department Name: Geography

Abstract

Several industrial sectors require knowledge of climate extremes above and beyond those experienced during the satellite era. Examples include the insurance industry where regulators will soon require adequate capital to cover a 1 in 200 year event; and the nuclear industry which is required to prepare against a 1 in 10,000 year event. The common approach to determine these is to extrapolate from observations over the past 50 years or so, either directly or through the use of a catastrophe model. Often these estimates do not include a quantification of the uncertainties arising from either natural climate variability or climate change. This project aims to determine the risks that are missed by these standard practices.

Planned Impact

The direct results of this work will be a short report distributed freely within the insurance industry (either through Standard & Poors or Lloyds). This report will be drafted with the assistance of the commercial partners, to prevent it being overly academic. It will summarise the research performed during this feasibility and highlight the need to better quantify the uncertainty in catastrophe modelling.

Publications

10 25 50
 
Description We demonstrated a potential methodology for assessing what impact having only data for a short, abnormal time period would have on the estimated return period for an extremem weather event.
Exploitation Route If further investigation finds a way to overcome the scale disconnect, then this would provide a potentially valuable product for the catastrophe risk and insurance industries
Sectors Environment,Financial Services, and Management Consultancy

URL http://www.geog.ucl.ac.uk/people/academic-staff/chris-brierley/DEVINS_Report_Final.pdf