The frequency conundrum: modelling terrorism for the insurance industry

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dc.contributor.author Johnson, Stephen
dc.date.accessioned 2021-02-19T15:23:01Z
dc.date.available 2021-02-19T15:23:01Z
dc.date.issued 2014-12-07
dc.identifier.citation Stephen Johnson. (2014) The frequency conundrum: modelling terrorism for the insurance industry; Poster presentation - Society of Risk Analysis Annual Meeting, 7-11 December 2014, Denver, Colorado, USA en_UK
dc.identifier.uri https://www.sra.org/events-webinars/archived-events/annual-meeting-archive/
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/16381
dc.description Poster presentation
dc.description.abstract Many groups face the challenge of trying to make evidence based decisions about threats such as terrorism. Resource allocation by countries for security and resilience measures are a well-known challenge. While many countries keep this information extremely secret the USA has had its own methods reviewed publically by a number of respected bodies, such as the National Academy of Sciences. As recently as 2010 these reviews have been pretty negative in their conclusions (National Research Council, 2010). The UK and the Netherlands have also had their own national risk register processes reviewed in the open literature. Commensurate with someofthe major national resource allocation challenges; the insurance industry has also faced a need to understand the frequency and impact of terrorism. While some catastrophic terrorism models exist in the market it has been regularly asserted that government backstopping is required because of a number of challenges in terrorism. Data sets are frequently included in this. en_UK
dc.language.iso en en_UK
dc.publisher Cranfield University, Cranfield Forensic Institute en_UK
dc.title The frequency conundrum: modelling terrorism for the insurance industry en_UK
dc.type Other en_UK


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