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Revisiting integral functionals of geometric Brownian motion

Probability 2020-02-03 v1 Statistics Theory Computational Finance General Finance Pricing of Securities Statistics Theory

Abstract

In this paper we revisit the integral functional of geometric Brownian motion It=0te(μs+σWs)dsI_t= \int_0^t e^{-(\mu s +\sigma W_s)}ds, where μR\mu\in\mathbb{R}, σ>0\sigma > 0, and (Ws)s>0(W_s )_s>0 is a standard Brownian motion. Specifically, we calculate the Laplace transform in tt of the cumulative distribution function and of the probability density function of this functional.

Keywords

Cite

@article{arxiv.2001.11861,
  title  = {Revisiting integral functionals of geometric Brownian motion},
  author = {Elena Boguslavskaya and Lioudmila Vostrikova},
  journal= {arXiv preprint arXiv:2001.11861},
  year   = {2020}
}
R2 v1 2026-06-23T13:26:37.924Z