Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables

We consider the asymptotic behavior of a probability density function for the sum of any two lognormally distributed random variables that are nontrivially correlated. We show that both the left and right tails can be approximated by some simple functions. Furthermore, the same techniques are applie...

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Main Authors: Xin Gao, Hong Xu, Dong Ye
Format: Article
Language:English
Published: Wiley 2009-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2009/630857
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author Xin Gao
Hong Xu
Dong Ye
author_facet Xin Gao
Hong Xu
Dong Ye
author_sort Xin Gao
collection DOAJ
description We consider the asymptotic behavior of a probability density function for the sum of any two lognormally distributed random variables that are nontrivially correlated. We show that both the left and right tails can be approximated by some simple functions. Furthermore, the same techniques are applied to determine the tail probability density function for a ratio statistic, and for a sum with more than two lognormally distributed random variables under some stricter conditions. The results yield new insights into the problem of characterization for a sum of lognormally distributed random variables and demonstrate that there is a need to revisit many existing approximation methods.
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institution Kabale University
issn 0161-1712
1687-0425
language English
publishDate 2009-01-01
publisher Wiley
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series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-98753eb02e5f40daa01acf8103775cce2025-08-20T03:37:23ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252009-01-01200910.1155/2009/630857630857Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal VariablesXin Gao0Hong Xu1Dong Ye2Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, CanadaDepartment of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, CanadaLMAM, Université de Metz, UFR 7122 Bâtiment A, Île de Saulcy, 57045 Metz Cedex 1, FranceWe consider the asymptotic behavior of a probability density function for the sum of any two lognormally distributed random variables that are nontrivially correlated. We show that both the left and right tails can be approximated by some simple functions. Furthermore, the same techniques are applied to determine the tail probability density function for a ratio statistic, and for a sum with more than two lognormally distributed random variables under some stricter conditions. The results yield new insights into the problem of characterization for a sum of lognormally distributed random variables and demonstrate that there is a need to revisit many existing approximation methods.http://dx.doi.org/10.1155/2009/630857
spellingShingle Xin Gao
Hong Xu
Dong Ye
Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables
International Journal of Mathematics and Mathematical Sciences
title Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables
title_full Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables
title_fullStr Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables
title_full_unstemmed Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables
title_short Asymptotic Behavior of Tail Density for Sum of Correlated Lognormal Variables
title_sort asymptotic behavior of tail density for sum of correlated lognormal variables
url http://dx.doi.org/10.1155/2009/630857
work_keys_str_mv AT xingao asymptoticbehavioroftaildensityforsumofcorrelatedlognormalvariables
AT hongxu asymptoticbehavioroftaildensityforsumofcorrelatedlognormalvariables
AT dongye asymptoticbehavioroftaildensityforsumofcorrelatedlognormalvariables