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First passage times of two-dimensional correlated processes : analytical results for the Wiener process and a numerical method for diffusion processes

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Sacerdote, Laura, Tamborrino, Massimiliano and Zucca, Cristina (2016) First passage times of two-dimensional correlated processes : analytical results for the Wiener process and a numerical method for diffusion processes. Journal of Computational and Applied Mathematics, 296 . pp. 275-292. doi:10.1016/j.cam.2015.09.033

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Official URL: http://dx.doi.org/10.1016/j.cam.2015.09.033

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Abstract

Given a two-dimensional correlated diffusion process, we determine the joint density of the first passage times of the process to some constant boundaries. This quantity depends on the joint density of the first passage time of the first crossing component and of the position of the second crossing component before its crossing time. First we show that these densities are solutions of a system of Volterra–Fredholm first kind integral equations. Then we propose a numerical algorithm to solve it and we describe how to use the algorithm to approximate the joint density of the first passage times. The convergence of the method is theoretically proved for bivariate diffusion processes. We derive explicit expressions for these and other quantities of interest in the case of a bivariate Wiener process, correcting previous misprints appearing in the literature. Finally we illustrate the application of the method through a set of examples.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Brownian motion processes
Journal or Publication Title: Journal of Computational and Applied Mathematics
Publisher: Elseivier Science BV
ISSN: 0377-0427
Official Date: April 2016
Dates:
DateEvent
April 2016Published
8 October 2015Available
15 July 2015Accepted
17 March 2015Submitted
Volume: 296
Page Range: pp. 275-292
DOI: 10.1016/j.cam.2015.09.033
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: University of Torino

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