Sums of dependent nonnegative random variables with subexponential tails
Bangwon Ko and Qihe Tang
Source: J. Appl. Probab.
Volume 45, Number 1
(2008), 85-94.
Abstract
In this paper we study the asymptotic tail probabilities of sums
of subexponential, nonnegative random variables, which are
dependent according to certain general structures with tail
independence. The results show that the subexponentiality of the
summands eliminates the impact of the dependence on the tail
behavior of the sums.
Primary Subjects: 62E20
Secondary Subjects: 60G70, 62H20
Keywords: Asymptotics; copula; dependence; subexponentiality; uniformity
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Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.jap/1208358953
Digital Object Identifier: doi:10.1239/jap/1208358953
Mathematical Reviews number (MathSciNet):
MR2409312
Zentralblatt MATH identifier:
1137.62310
References
Albrecher, H., Asmussen, S. and Kortschak, D. (2006). Tail asymptotics for the sum of two heavy-tailed dependent risks. Extremes 9, 107--130.
Alink, S., Löwe, M. and Wüthrich, M. V. (2004). Diversification of aggregate dependent risks. Insurance Math. Econom. 35, 77--95.
Barbe, P., Fougères, A.-L. and Genest, C. (2006). On the tail behavior of sums of dependent risks. Astin Bull. 36, 361--373.
Cai, J. and Tang, Q. (2004). On max-sum equivalence and convolution closure of heavy-tailed distributions and their applications. J. Appl. Prob. 41, 117--130.
Cline, D. B. H. (1986). Convolution tails, product tails and domains of attraction. Prob. Theory Relat. Fields 72, 529--557.
Mathematical Reviews (MathSciNet):
MR847385
Coles, S., Heffernan, J. and Tawn, J. (1999). Dependence measures for extreme value analyses. Extremes 2, 339--447.
Embrechts, P., Klüppelberg, C. and Mikosch, T. (1997). Modelling Extremal Events for Insurance and Finance. Springer, Berlin.
Geluk, J. and Ng, K. (2006). Tail behavior of negatively associated heavy-tailed sums. J. Appl. Prob. 43, 587--593.
Kortschak, D. and Albrecher, H. (2008). Asymptotic results for the sum of dependent nonidentically distributed random variables. To appear in Methodology Comput. Appl. Prob.
Lehmann, E. L. (1966). Some concepts of dependence. Ann. Math. Statist. 37, 1137--1153.
Mathematical Reviews (MathSciNet):
MR202228
Nelsen, R. B. (2006). An Introduction to Copulas, 2nd edn. Springer, New York.
Tang, Q. (2008). Insensitivity to negative dependence of asymptotic tail probabilities of sums and maxima of sums. To appear in Stoch. Anal. Appl.
Tang, Q. and Tsitsiashvili, G. (2003). Randomly weighted sums of subexponential random variables with application to ruin theory. Extremes 6, 171--188.