A Cluster Expansion Proof That The Stochastic Exponential Of A Brownian Motion Is A Martingale
Steven D Miller

TL;DR
This paper proves, using a cluster expansion method, that the stochastic exponential of a Brownian motion is a martingale, confirming classical criteria and providing new insights into its moment properties.
Contribution
It introduces a cluster expansion approach to establish the martingale property of the stochastic exponential of Brownian motion, reproducing and extending Novikov's criteria.
Findings
The stochastic exponential satisfies Novikov's criteria for martingales.
The moments of the exponential are explicitly characterized.
The method offers a new proof technique for martingale properties.
Abstract
Let be a smooth and continuous real function and . Let be a standard Brownian motion defined with respect to a probability space and where and . The process is a Gaussian white noise with expectation and with covariance . The Dolean-Dades stochastic exponential is the solution to the linear stochastic differential equation describing a geometric Brownian motion such that . Using a cluster expansion method, and the moment and cumulant generating functions for , it is shown that is a martingale. The original Novikov criteria for being a true martingale…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · advanced mathematical theories · Stochastic processes and statistical mechanics
