Asymptotic formulas for the left truncated moments of sums with consistently varying distributed increments
Articles
Jonas Sprindys
Vilnius University
Jonas Šiaulys
Vilnius University
https://orcid.org/0000-0002-8480-5644
Published 2021-11-01
https://doi.org/10.15388/namc.2021.26.24608
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Keywords

sum of random variables
asymptotic independence
tail moment
truncated moment
heavy tail
consistently varying distribution

How to Cite

Sprindys, J. and Šiaulys, J. (2021) “Asymptotic formulas for the left truncated moments of sums with consistently varying distributed increments”, Nonlinear Analysis: Modelling and Control, 26(6), pp. 1200–1212. doi:10.15388/namc.2021.26.24608.

Abstract

In this paper, we consider the sum Snξ = ξ1 + ... + ξn of possibly dependent and nonidentically distributed real-valued random variables ξ1, ... , ξn with consistently varying distributions. By assuming that collection {ξ1, ... , ξn} follows the dependence structure, similar to the asymptotic independence, we obtain the asymptotic relations for E((Snξ)α1(Snξ > x)) and E((Snξx)+)α, where α is an arbitrary nonnegative real number. The obtained results have applications in various fields of applied probability, including risk theory and random walks.

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