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How Cyber Model Vendors See Their Role in Closing the Cyber Insurance Protection Gap

Johansmeyer, Tom (2024) How Cyber Model Vendors See Their Role in Closing the Cyber Insurance Protection Gap. Journal of Insurance Issues, 47 (1). pp. 118-134. ISSN 1531-6076. E-ISSN 2332-4244. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:105933)

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Language: English

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Official URL:
https://www.jstor.org/stable/48770675

Abstract

The developers of models for quantifying systemic cyber risk for the re/insurance industry have had little opportunity for their voice to be heard. Instead, the historical literature largely dismisses the sector as immature, inaccurate, and not up to the task of facilitating cyber re/insurance risk transfer. This characterization of the cyber modeling community may be true, but little evidence has been offered in support of such views. Further, no credible scholarly analysis of the effectiveness of cyber vendor models has been conducted. This article offers a first step in what hopefully can become a much richer and robust line of inquiry across the cyber re/insurance academic community. Consisting of qualitative research with cyber modeling vendor employees, this article offers a baseline view of how the modeling sector sees itself and its work with regard to the broader cyber re/insurance community. No such study of the model vendors themselves has been conducted. This article provides an opportunity for the modelers to say their piece in a sector that has largely overlooked their contributions.

Item Type: Article
Additional information: AAM requested + publisher self-archiving policy queried with author - MW 13.5.24
Uncontrolled keywords: cyber insurance, cyber reinsurance, catastrophe modeling, insurance linked securities, protection gap
Subjects: H Social Sciences > HF Commerce > HF5351 Business
H Social Sciences > HG Finance
Divisions: Divisions > Division of Human and Social Sciences > School of Politics and International Relations
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Tom Johansmeyer
Date Deposited: 12 May 2024 15:35 UTC
Last Modified: 07 Jun 2024 08:37 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/105933 (The current URI for this page, for reference purposes)

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