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Large deviations of heavy-tailed random sums with applications in insurance and finance

  • Johannes Gutenberg University
  • University of Groningen

Research output: Contribution to journalArticlepeer-review

141 Scopus citations

Abstract

We prove large deviation results for the random sum S(t) = ∑N(t)i=1 Xi, t ≧ 0, where (N(t))t≧0 are non-negative integer-valued random variables and (Xn)n∈ℕ are i.i.d. non-negative random variables with common distribution function F, independent of (N(t))t≧0. Special attention is paid to the compound Poisson process and its ramifications. The right tail of the distribution function F is supposed to be of Pareto type (regularly or extended regularly varying). The large deviation results are applied to certain problems in insurance and finance which are related to large claims.

Original languageEnglish
Pages (from-to)293-308
Number of pages16
JournalJournal of Applied Probability
Volume34
Issue number2
DOIs
StatePublished - Jun 1997
Externally publishedYes

Keywords

  • Compound poisson process
  • Extreme value theory
  • Financial risk
  • Futures
  • High density data
  • Insurance risk
  • Large deviations
  • Regular variation
  • Reinsurance
  • Renewal counting process
  • Subexponential distributions

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