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Open AccessJournal ArticleDOI

Aggregate Cyber-Risk Management in the IoT Age: Cautionary Statistics for (Re)Insurers and Likes

TLDR
In this paper, a rigorous general theory to elicit conditions on (tail-dependent) heavy-tailed cyber risk distributions under which a risk management firm might find it (non)sustainable to provide aggregate cyber-risk coverage services for smart societies is provided.
Abstract
In this paper, we provide (i) a rigorous general theory to elicit conditions on (tail-dependent) heavy-tailed cyber-risk distributions under which a risk management firm might find it (non)sustainable to provide aggregate cyber-risk coverage services for smart societies, and (ii)a real-data driven numerical study to validate claims made in theory assuming boundedly rational cyber-risk managers, alongside providing ideas to boost markets that aggregate dependent cyber-risks with this http URL the best of our knowledge, this is the only complete general theory till date on the feasibility of aggregate cyber-risk management.

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Insurance in the Industry 4.0 environment: A literature review, synthesis, and research agenda

TL;DR: A systematic review of research on digital technologies in insurance discusses their benefits, enablers and inhibitors with specific reference to Industry 4.0-driven changes and identifies opportunities and imminent changes in the industry as discussed by the authors .
References
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Book

Modelling Extremal Events: for Insurance and Finance

TL;DR: In this article, an approach to Extremes via Point Processes is presented, and statistical methods for Extremal Events are presented. But the approach is limited to time series analysis for heavy-tailed processes.
Book

One-dimensional stable distributions

TL;DR: In this article, the authors present examples of stable laws in applications, including analytical properties of the distributions in the family, special properties of laws in the class, and estimators of the parameters of stable distributions.
Book

Correlation and dependence

TL;DR: Notations and definitions correlation and dependence - an introspection concepts of dependence and stochastic ordering copulas Farlie-Gumbel-Morgenstern models of dependence global versus local dependence between random variables.
Journal ArticleDOI

Correlations and Copulas for Decision and Risk Analysis

TL;DR: In this paper, the authors describe an alternative approach that uses a copula to construct joint distributions and pairwise correlations to incorporate dependence among the variables, which is designed specifically to permit the use of an expert's subjective judgments of marginal distributions and correlations.
Journal ArticleDOI

Insurability of Cyber Risk: An Empirical Analysis

TL;DR: The insurability of cyber risk is investigated by systematically reviewing the set of criteria introduced by Berliner (1982) and the distinct characteristics of cyber risks compared with other operational risks are emphasised.
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