Randomly weighted sums of subexponential random variables with application to capital allocation

Qihe Tang, Zhongyi Yuan

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

We are interested in the tail behavior of the randomly weighted sum ∑i=1 n θi Xi, in which the primary random variables X1, …, Xn are real valued, independent and subexponentially distributed, while the random weights θ1, …, θn are nonnegative and arbitrarily dependent, but independent of X1, …, Xn. For various important cases, we prove that the tail probability of ∑i=1 n θiXi is asymptotically equivalent to the sum of the tail probabilities of θ1X1, …, θnXn, which complies with the principle of a single big jump. An application to capital allocation is proposed.

Original languageEnglish (US)
Pages (from-to)467-493
Number of pages27
JournalExtremes
Volume17
Issue number3
DOIs
StatePublished - Sep 1 2014

Fingerprint

Tail Probability
Weighted Sums
Random variables
Random variable
Tail Behavior
Asymptotically equivalent
Jump
Non-negative
Dependent
Tail probability
Capital allocation
Tail behavior

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Engineering (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)

Cite this

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Randomly weighted sums of subexponential random variables with application to capital allocation. / Tang, Qihe; Yuan, Zhongyi.

In: Extremes, Vol. 17, No. 3, 01.09.2014, p. 467-493.

Research output: Contribution to journalArticle

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