Bridge representation and modal-path approximation
Jiro Akahori, Xiaoming Song, Tai-Ho Wang

TL;DR
This paper develops a bridge representation for the joint density of a system combining Brownian motion and fractional Brownian motion with drifts, enabling efficient small-time density approximations via modal-path substitution.
Contribution
It introduces a novel bridge representation for the joint density of coupled Brownian and fractional Brownian motions, facilitating practical small-time density approximations.
Findings
Derived a bridge representation for the joint density of the processes.
Provided a method for small-time density approximation using modal-paths.
Simplified the computation of joint densities in complex stochastic systems.
Abstract
The article shows a bridge representation for the joint density of a system of stochastic processes consisting of a Brownian motion with drift coupled with a correlated fractional Brownian motion with drift. As a result, a small time approximation of the joint density is readily obtained by substituting the conditional expectation under the bridge measure by a single path: the modal-path from the initial point to the terminal point.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
