Dependence among different cyber risk classes is a fundamentally underexplored topic in the literature. However, disregarding the dependence structure in cyber risk management leads to inconsistent estimates of potential unintended losses. To bridge this gap, this article adopts a regulatory perspective to develop vine copulas to capture dependence. In quantifying the solvency capital requirement gradient for cyber risk measurement according to Solvency II, a dangerous paradox emerges: an insurance company does not tend to provide cyber risk hedging products as they are excessively expensive and would require huge premiums that it would not be possible to find policyholders.
Carannante, M., D'Amato, V., Fersini, P., Forte, S., Melisi, G., (Abstract) Vine copula modeling dependence among cyber risks: A dangerous regulatory paradox, <<APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY>>, 2023; 39 (4): 549-566. [doi:10.1002/asmb.2767] [https://hdl.handle.net/10807/272737]
Vine copula modeling dependence among cyber risks: A dangerous regulatory paradox
Melisi, Giuseppe
2023
Abstract
Dependence among different cyber risk classes is a fundamentally underexplored topic in the literature. However, disregarding the dependence structure in cyber risk management leads to inconsistent estimates of potential unintended losses. To bridge this gap, this article adopts a regulatory perspective to develop vine copulas to capture dependence. In quantifying the solvency capital requirement gradient for cyber risk measurement according to Solvency II, a dangerous paradox emerges: an insurance company does not tend to provide cyber risk hedging products as they are excessively expensive and would require huge premiums that it would not be possible to find policyholders.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.