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Heterogeneity in cyber loss severity and its impact on cyber risk measurement

We use the world’s largest publicly available dataset of operational risk to model cyber losses and show that the Tweedie model best fits the cyber loss severity in the financial industry. Three key determinants of loss severity are firm size, contagion risk and legal liability. We also measure the...

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Detalles Bibliográficos
Autores principales: Eling, Martin, Jung, Kwangmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Palgrave Macmillan UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169022/
http://dx.doi.org/10.1057/s41283-022-00095-w
Descripción
Sumario:We use the world’s largest publicly available dataset of operational risk to model cyber losses and show that the Tweedie model best fits the cyber loss severity in the financial industry. Three key determinants of loss severity are firm size, contagion risk and legal liability. We also measure the size of risk based on the estimation results and show a large degree of heterogeneity across financial firms. The results are particularly relevant with respect to the recent discussion on simplifying operational risk capital requirements and reiterate the importance of considering individual firm characteristics when modelling operational losses.