Martingale property of generalized stochastic exponentials
Aleksandar Mijatovi\'c, Nika Novak, Mikhail Urusov

TL;DR
This paper investigates the conditions under which a generalized stochastic exponential, associated with a diffusion process driven by Brownian motion, is a local, true, or uniformly integrable martingale, extending classical results.
Contribution
It introduces a generalized stochastic exponential for arbitrary Borel functions and provides deterministic criteria for its martingale properties.
Findings
Provides necessary and sufficient conditions for Z to be a local martingale.
Establishes criteria for Z to be a true martingale.
Determines when Z is uniformly integrable.
Abstract
For a real Borel measurable function b, which satisfies certain integrability conditions, it is possible to define a stochastic integral of the process b(Y) with respect to a Brownian motion W, where Y is a diffusion driven by W. It is well know that the stochastic exponential of this stochastic integral is a local martingale. In this paper we consider the case of an arbitrary Borel measurable function b where it may not be possible to define the stochastic integral of b(Y) directly. However the notion of the stochastic exponential can be generalized. We define a non-negative process Z, called generalized stochastic exponential, which is not necessarily a local martingale. Our main result gives deterministic necessary and sufficient conditions for Z to be a local, true or uniformly integrable 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.
