The barriers to sustainable risk transfer in the cyber-insurance market

Abstract

Efficient risk transfer is an important condition for ensuring the sustainability of a market according to the established economics literature. In an inefficient market, significant financial imbalances may develop and potentially jeopardize the solvency of some market participants. The constantly evolving nature of cyber-threats and lack of public data sharing mean that the economic conditions required for quoted cyber-insurance premiums to be considered efficient are highly unlikely to be met. This paper develops Monte Carlo simulations of an artificial cyber-insurance market and compares the efficient and inefficient outcomes based on the informational setup between the market participants. The existence of diverse loss distributions is justified by the dynamic nature of cyber-threats and the absence of any reliable and centralized incident reporting. It is shown that the limited involvement of reinsurers when loss expectations are not shared leads to increased premiums and lower overall capacity. This suggests that the sustainability of the cyber-insurance market requires both better data sharing and external sources of risk tolerant capital.

Publication DOI: https://doi.org/10.1093/cybsec/tyae003
Divisions: College of Business and Social Sciences > Aston Business School > Economics, Finance & Entrepreneurship
College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Centre for Personal Financial Wellbeing
Funding Information: This work was supported partly by the UK Engineering and Physical Sciences Research Council grant for Doctoral Training EP/R513143/1.
Additional Information: © The Author(s) 2024. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: reinsurance,cyber-threats,insurance economics,security economics,efficient risk transfer,cyber-insurance,Monte Carlo simulations
Publication ISSN: 2057-2093
Last Modified: 06 Dec 2024 08:30
Date Deposited: 22 Feb 2024 09:51
Full Text Link:
Related URLs: https://academi ... 0985?login=true (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-02-20
Accepted Date: 2024-02-04
Submitted Date: 2023-08-16
Authors: Skeoch, Henry R K
Ioannidis, Christos

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