2017StochasticsRequires access

A new sufficient condition for uniform integrability of stochastic exponentials

Besik Chikvinidze

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Abstract

Given a continuous local martingale M, the associated stochastic exponential is a local martingale, but not necessarily a true martingale. To know whether is a true martingale is important for many applications, e.g. if Girsanov’s theorem is applied to perform a change of measure. We give a generalization of the well-known Novikov’s and Kazamaki’s criteria which provides a new proof based on the properties of a certain backward stochastic differential equation.

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What this paper is about

Given a continuous local martingale M, the associated stochastic exponential is a local martingale, but not necessarily a true martingale. To know whether is a true martingale is important for many applications, e.g. if Girsanov’s theorem is applied to perform a change of measure. We give a generalization of the well-known Novikov’s and Kazamaki’s criteria which provides a new proof based on the properties of a certain backward stochastic differential equation.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Given a continuous local martingale M, the associated stochastic exponential is a local martingale, but not necessarily a true martingale. To know whether is a true martingale is important for many applications, e.g. if Girsanov’s theorem is applied to perform a change of measure. We give a generalization of the well-known Novikov’s and Kazamaki’s criteria which provides a new proof based on the properties of a certain backward stochastic differential equation.

Key concepts: Girsanov theorem, Martingale (probability theory), Novikov self-consistency principle, Mathematics, Doob's martingale inequality, Local martingale, Martingale difference sequence, Exponential function

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