• Media type: E-Article
  • Title: Measuring systemic governmental reinsurance risks of extreme risk events
  • Contributor: Hadad, Elroi [VerfasserIn]; Shusi, Tomer [VerfasserIn]; Yosef, Rami [VerfasserIn]
  • imprint: 2023
  • Published in: Risks ; 11(2023), 3 vom: Feb., Artikel-ID 50, Seite 1-14
  • Language: English
  • DOI: 10.3390/risks11030050
  • ISSN: 2227-9091
  • Identifier:
  • Keywords: loss retention ; reinsurance policy ; reinsurance claim ; catastrophic events ; risk management ; financial simulation ; Aufsatz in Zeitschrift
  • Origination:
  • Footnote:
  • Description: This study presents an easy-to-handle approach to measuring the severity of reinsurance that faces a system of dependent claims, where the reinsurance contracts are of excess loss or proportional loss. The proposed approach is a natural generalization of common reinsurance methodologies providing a conservative framework that deals with the fundamental question of how much money should a government hold to prepare for natural or human-made extreme risk events that the government will cover? Although the ruin theory is commonly used for extreme risk events, we suggest a new risk measure to deal with such events in a new framework based on multivariate risk measures. We analyze the results for the log-elliptical model of dependent claims, which are commonly used in risk analysis, and illustrate our novel risk measure using a Monte Carlo simulation.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)