Skip to main navigation Skip to search Skip to main content

Maxima of sums of heavy-tailed random variables

  • Kai Ng
  • , Qihe Tang
  • , Hailiang Yang*
  • *Corresponding author for this work
  • University of Amsterdam
  • The University of Hong Kong

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

In this paper, we investigate asymptotic properties of the tail probabilities of the maxima of partial sums of independent random variables. For some large classes of heavy-tailed distributions, we show that the tail probabilities of the maxima of the partial sums asymptotically equal to the sum of the tail probabilities of the individual random variables. Then we partially extend the result to the case of random sums. Applications to some commonly used risk processes are proposed. All heavy-tailed distributions involved in this paper are supposed on the whole real line.
Original languageEnglish
Pages (from-to)43-55
JournalASTIN Bulletin
Volume32
Issue number1
DOIs
Publication statusPublished - 2002
Externally publishedYes

Fingerprint

Dive into the research topics of 'Maxima of sums of heavy-tailed random variables'. Together they form a unique fingerprint.

Cite this