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The county fair cyber loss distribution: Drawing inferences from insurance prices

Abstract:

Insurance premiums reflect expectations about the future losses of each insured. Given the dearth of cyber security loss data, market premiums could shed light on the true magnitude of cyber losses despite noise from factors unrelated to losses. To that end, we extract cyber insurance pricing information from the regulatory filings of 26 insurers. We provide empirical observations on how premiums vary by coverage type, amount, and policyholder type and over time. A method using particle swarm...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3434403

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0003-3597-2232
Publisher:
Association for Computing Machinery Publisher's website
Journal:
Digital Threats: Research and Practice Journal website
Volume:
2
Issue:
2
Article number:
10
Publication date:
2021-04-15
Acceptance date:
2020-11-09
DOI:
EISSN:
2576-5337
ISSN:
2692-1626
Language:
English
Keywords:
Pubs id:
1145102
Local pid:
pubs:1145102
Deposit date:
2020-11-12

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