Towards an Economic Cyber Loss Index for Parametric Cover Based on IT Security Indicator: A Preliminary Analysis
Clicks: 265
ID: 110370
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
265 views
49 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #26 of 89 articles by views in risks
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
As cyber events have virtually no geographical limitations and can result in economic losses on a global scale, the assessment of return periods for such economic losses is currently debated among experts. The potential accumulation of consequential insurance losses due to intrusions or viruses is one of the major reasons why the (re-)insurance industry has limited risk appetite for cyber related risks. In order to increase the risk appetite for cyber risk and based on a first batch of data provided by Symantec, the goal of this article is to: Check if IT activity, i.e., the number of virus or intrusions being blocked by Norton on end-user computers could be used as an index for parametric covers that reinsurance companies could propose to their cedants; Look into the correlations of this IT activity across different regions, thereby confirming the absence of geographical limitations for cyber risk, and hence confirming the systemic nature of this risk. This first study on the Symantec dataset shows that a cyber index based on IT activity could be a useful tool to design parametric reinsurance product.
| Reference Key |
moro2020riskstowards
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Eric Dal Moro;Dal Moro, Eric; |
| Journal | risks |
| Year | 2020 |
| DOI |
10.3390/risks8020045
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.