Revisiting integral functionals of geometric Brownian motion

01/31/2020
by   Elena Boguslavskaya, et al.
0

In this paper we revisit the integral functional of geometric Brownian motion I_t= ∫_0^t e^-(μ s +σ W_s)ds, where μ∈R, σ > 0, and (W_s )_s>0 is a standard Brownian motion. Specifically, we calculate the Laplace transform in t of the cumulative distribution function and of the probability density function of this functional.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/27/2020

Asymptotic expansion for the Hartman-Watson distribution

The Hartman-Watson distribution with density f_r(t) is a probability dis...
research
02/22/2022

Evaluation of the Gauss integral

The normal or Gaussian distribution plays a prominent role in almost all...
research
01/04/2023

A Probabilistic Perspective on Feller, Pollard and the Complete Monotonicity of the Mittag-Leffler Function

The main contribution of this paper is the use of probability theory to ...
research
01/13/2023

Privatitation of Probability Distributions by use Wavelet Integral approach

A naive theory of additive perturbations on a continuous probability dis...
research
07/11/2023

On a Calculable Skorokhod's Integral Based Projection Estimator of the Drift Function in Fractional SDE

This paper deals with a Skorokhod's integral based projection type estim...
research
01/12/2020

One shot approach to lossy source coding under average distortion constraints

This paper present a one shot analysis of the lossy compression problem ...
research
02/15/2023

Perception of Human Motion with Different Geometric Models

Human figures have been animated using a variety of geometric models inc...

Please sign up or login with your details

Forgot password? Click here to reset