Asymptotics for systemic risk with dependent heavy-Tailed losses

Jiajun Liu*, Yang Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Systemic risk (SR) is considered as the risk of collapse of an entire system, which has played a significant role in explaining the recent financial turmoils from the insurance and financial industries. We consider the asymptotic behavior of the SR for portfolio losses in the model allowing for heavy-Tailed primary losses, which are equipped with a wide type of dependence structure. This risk model provides an ideal framework for addressing both heavy-Tailedness and dependence. As some extensions, several simulation experiments are conducted, where an insurance application of the asymptotic characterization to the determination and approximation of related SR capital has been proposed, based on the SR measure.

Original languageEnglish
Pages (from-to)571-605
Number of pages35
JournalASTIN Bulletin
Volume51
Issue number2
DOIs
Publication statusPublished - May 2021

Keywords

  • asymptotics
  • dependence
  • heavy-Tailedness
  • systemic risk
  • systemic risk contagion

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