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

被引:2
|
作者
Skeoch, Henry R. K. [1 ]
Ioannidis, Christos [2 ]
机构
[1] UCL, Dept Comp Sci, Gower St, London WC1E 6BT, England
[2] Aston Univ, Aston Business Sch, Birmingham B4 7ET, England
来源
JOURNAL OF CYBERSECURITY | 2024年 / 10卷 / 01期
基金
英国工程与自然科学研究理事会;
关键词
cyber-insurance; reinsurance; Monte Carlo simulations; efficient risk transfer; cyber-threats; security economics; insurance economics;
D O I
10.1093/cybsec/tyae003
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
引用
收藏
页数:25
相关论文
共 50 条
  • [41] Differentiating Cyber Risk of Insurance Customers: The Insurance Company Perspective
    Tondel, Inger Anne
    Seehusen, Fredrik
    Gjaere, Erlend Andreas
    Moe, Marie Elisabeth Gaup
    AVAILABILITY, RELIABILITY, AND SECURITY IN INFORMATION SYSTEMS, CD-ARES 2016, PAML 2016, 2016, 9817 : 175 - 190
  • [42] Cyber insurance risk analysis framework considerations
    Rangu, Calin Mihail
    Badea, Leonardo
    Scheau, Mircea Constantin
    Gabudeanu, Larisa
    Panait, Iulian
    Radu, Valentin
    JOURNAL OF RISK FINANCE, 2024, 25 (02) : 224 - 252
  • [43] Risk mitigation services in cyber insurance: optimal contract design and price structure
    Zeller, Gabriela
    Scherer, Matthias
    GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE, 2023, 48 (02) : 502 - 547
  • [44] Content analysis of cyber insurance policies: how do carriers price cyber risk?
    Romanosky, Sasha
    Ablon, Lillian
    Kuehn, Andreas
    Jones, Therese
    JOURNAL OF CYBERSECURITY, 2019, 5 (01):
  • [45] An Empirical Analysis of Insurer Participation in the U.S. Cyber Insurance Market
    Cole, Cassandra R.
    Fier, Stephen G.
    NORTH AMERICAN ACTUARIAL JOURNAL, 2021, 25 (02) : 232 - 254
  • [46] Cyber Insurance and Risk Assessment: Some Insights on the Insurer Perspective
    Carfora, Maria Francesca
    Orlando, Albina
    MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE, MAF2024, 2024, : 80 - 86
  • [47] What Ails Cyber Insurance? An Analysis of Barriers and Drivers Using Fuzzy TOPSIS Method
    Ganapathi Subramaniam B.
    Chithralekha T.
    Amudhambigai B.
    SN Computer Science, 5 (1)
  • [48] Barriers and enablers to adoption of cyber insurance in developing countries: An exploratory study of Malaysian organizations
    Hamid, Nor Hasnul Azirah Abdul
    Nor, Normalina Ibrahim Mat
    Hussain, Fazlin Marini
    Raju, Rajeswari
    Naseer, Humza
    Ahmad, Atif
    COMPUTERS & SECURITY, 2022, 122
  • [49] Cyber Risk Assessment and Mitigation (CRAM) Framework Using Logit and Probit Models for Cyber Insurance
    Mukhopadhyay, Arunabha
    Chatterjee, Samir
    Bagchi, Kallol K.
    Kirs, Peteer J.
    Shukla, Girja K.
    INFORMATION SYSTEMS FRONTIERS, 2019, 21 (05) : 997 - 1018
  • [50] Cyber Risk Assessment and Mitigation (CRAM) Framework Using Logit and Probit Models for Cyber Insurance
    Arunabha Mukhopadhyay
    Samir Chatterjee
    Kallol K. Bagchi
    Peteer J. Kirs
    Girja K. Shukla
    Information Systems Frontiers, 2019, 21 : 997 - 1018