The Sum and Difference of Two Lognormal Random Variables

We have presented a new unified approach to model the dynamics of both the sum and difference of two correlated lognormal stochastic variables. By the Lie-Trotter operator splitting method, both the sum and difference are shown to follow a shifted lognormal stochastic process, and approximate probab...

Full description

Saved in:
Bibliographic Details
Main Author: C. F. Lo
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/838397
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841524708949884928
author C. F. Lo
author_facet C. F. Lo
author_sort C. F. Lo
collection DOAJ
description We have presented a new unified approach to model the dynamics of both the sum and difference of two correlated lognormal stochastic variables. By the Lie-Trotter operator splitting method, both the sum and difference are shown to follow a shifted lognormal stochastic process, and approximate probability distributions are determined in closed form. Illustrative numerical examples are presented to demonstrate the validity and accuracy of these approximate distributions. In terms of the approximate probability distributions, we have also obtained an analytical series expansion of the exact solutions, which can allow us to improve the approximation in a systematic manner. Moreover, we believe that this new approach can be extended to study both (1) the algebraic sum of N lognormals, and (2) the sum and difference of other correlated stochastic processes, for example, two correlated CEV processes, two correlated CIR processes, and two correlated lognormal processes with mean-reversion.
format Article
id doaj-art-17d0e3b78801448e94db312e129dd548
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-17d0e3b78801448e94db312e129dd5482025-02-03T05:47:31ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/838397838397The Sum and Difference of Two Lognormal Random VariablesC. F. Lo0Institute of Theoretical Physics and Department of Physics, The Chinese University of Hong Kong, Hong KongWe have presented a new unified approach to model the dynamics of both the sum and difference of two correlated lognormal stochastic variables. By the Lie-Trotter operator splitting method, both the sum and difference are shown to follow a shifted lognormal stochastic process, and approximate probability distributions are determined in closed form. Illustrative numerical examples are presented to demonstrate the validity and accuracy of these approximate distributions. In terms of the approximate probability distributions, we have also obtained an analytical series expansion of the exact solutions, which can allow us to improve the approximation in a systematic manner. Moreover, we believe that this new approach can be extended to study both (1) the algebraic sum of N lognormals, and (2) the sum and difference of other correlated stochastic processes, for example, two correlated CEV processes, two correlated CIR processes, and two correlated lognormal processes with mean-reversion.http://dx.doi.org/10.1155/2012/838397
spellingShingle C. F. Lo
The Sum and Difference of Two Lognormal Random Variables
Journal of Applied Mathematics
title The Sum and Difference of Two Lognormal Random Variables
title_full The Sum and Difference of Two Lognormal Random Variables
title_fullStr The Sum and Difference of Two Lognormal Random Variables
title_full_unstemmed The Sum and Difference of Two Lognormal Random Variables
title_short The Sum and Difference of Two Lognormal Random Variables
title_sort sum and difference of two lognormal random variables
url http://dx.doi.org/10.1155/2012/838397
work_keys_str_mv AT cflo thesumanddifferenceoftwolognormalrandomvariables
AT cflo sumanddifferenceoftwolognormalrandomvariables