Cyber Loss Distribution Fitting: A General Framework towards Cyber Bonds and Their Pricing Models

Oleg Kolesnikov, Alexander Markov, Daulet Smagulov, Sergejs Solovjovs and Niansheng Tang

International Journal of Mathematics and Mathematical Sciences, 2022, vol. 2022, 1-20

Abstract: Motivated by the considerable amount of losses in (finance) industry caused every year by the fast growing number of malicious cyber events and the need of an insurance against such cyber losses, we propose a general framework of cyber bond, whose main purpose is to insure (compensate) losses of a cyber attack. Based on a database of publicly available cyber events, we determine cyber loss distribution parameters and use them to numerically simulate cyber bond price, yield, and other characteristics. We also study two approaches to cyber bond coupon calculation.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jijmms:7689828

DOI: 10.1155/2022/7689828

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