Dependence among different cyber risk classes is a fundamentally underex-plored topic in the literature. However, disregarding the dependence structurein cyber risk management leads to inconsistent estimates of potential unin-tended losses. To bridge this gap, this article adopts a regulatory perspectiveto develop vine copulas to capture dependence. In quantifying the solvencycapital requirement gradient for cyber risk measurement according to Sol-vency II, a dangerous paradox emerges: an insurance company does not tend toprovide cyber risk hedging products as they are excessively expensive and wouldrequire huge premiums that it would not be possible to find policyholders

Vine copula modeling dependence among cyber risks: A dangerous regulatory paradox / Carannante, Maria; D'Amato, Valeria; Fersini, Paola; Forte, Salvatore; Melisi, Giuseppe. - In: APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY. - ISSN 1524-1904. - 39(2023), pp. 549-566. [10.1002/asmb.2767]

Vine copula modeling dependence among cyber risks: A dangerous regulatory paradox

D'Amato, Valeria;
2023

Abstract

Dependence among different cyber risk classes is a fundamentally underex-plored topic in the literature. However, disregarding the dependence structurein cyber risk management leads to inconsistent estimates of potential unin-tended losses. To bridge this gap, this article adopts a regulatory perspectiveto develop vine copulas to capture dependence. In quantifying the solvencycapital requirement gradient for cyber risk measurement according to Sol-vency II, a dangerous paradox emerges: an insurance company does not tend toprovide cyber risk hedging products as they are excessively expensive and wouldrequire huge premiums that it would not be possible to find policyholders
2023
cyber risk; solvency capital; requirements; vine copula
01 Pubblicazione su rivista::01a Articolo in rivista
Vine copula modeling dependence among cyber risks: A dangerous regulatory paradox / Carannante, Maria; D'Amato, Valeria; Fersini, Paola; Forte, Salvatore; Melisi, Giuseppe. - In: APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY. - ISSN 1524-1904. - 39(2023), pp. 549-566. [10.1002/asmb.2767]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1710110
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