A comprehensive model for cyber risk based on marked point processes and its application to insurance
Objetos digitales
| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20220019798 | ||
| 003 | MAP | ||
| 005 | 20220701123627.0 | ||
| 008 | 220701e20220606che|||p |0|||b|eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a6 | ||
| 100 | 1 | $0MAPA20220006620$aZeller, Gabriela | |
| 245 | 1 | 0 | $aA comprehensive model for cyber risk based on marked point processes and its application to insurance$cGabriela Zeller, Matthias Scherer |
| 520 | $aAfter scrutinizing technical, legal, financial, and actuarial aspects of cyber risk, a new approach for modelling cyber risk using marked point processes is proposed. Key covariates, required to model frequency and severity of cyber claims, are identified. The presented framework explicitly takes into account incidents from malicious untargeted and targeted attacks as well as accidents and failures. The resulting model is able to include the dynamic nature of cyber risk, while capturing accumulation risk in a realistic way. The model is studied with respect to its statistical properties and applied to the pricing of cyber insurance and risk measurement. The results are illustrated in a simulation study. | ||
| 540 | $aLa copia digital se distribuye bajo licencia "Attribution 4.0 International (CC BY 4.0)"$f$uhttps://creativecommons.org/licenses/by/4.0$943 | ||
| 650 | 4 | $0MAPA20160007633$aCiberriesgos | |
| 650 | 4 | $0MAPA20080579258$aCálculo actuarial | |
| 700 | 1 | $0MAPA20220002158$aScherer, Matthias | |
| 773 | 0 | $wMAP20220007085$g06/06/2022 Número 1 - junio 2022 , p. 33-85$tEuropean Actuarial Journal$dCham, Switzerland : Springer Nature Switzerland AG, 2021-2022 | |
| 856 | $qapplication/pdf$w1116051$yRecurso electrónico / Electronic resource |