When a Stochastic Exponential is a True Martingale. Extension of a Method of Bene^s

TL;DR

This paper extends Bene extquotesingle s method to verify when a stochastic exponential is a true martingale, providing more general and easily verifiable conditions applicable to a wide class of processes including those with jumps or explosions.

Contribution

It generalizes Bene extquotesingle s approach by introducing linear growth conditions that do not rely on piece-wise approximation, applicable even when Novikov and Kazamaki conditions fail.

Findings

Provides verifiable conditions for martingale property of stochastic exponentials.

Applicable to Markov processes with jumps and explosions.

Avoids complex approximation techniques used in previous methods.

Abstract

Let $\mathfrak{z}$ be a stochastic exponential, i.e., $\mathfrak{z}_t=1+\int_0^t\mathfrak{z}_{s-}dM_s$, of a local martingale $M$ with jumps $\triangle M_t>-1$. Then $\mathfrak{z}$ is a nonnegative local martingale with $\E\mathfrak{z}_t\le 1$. If $\E\mathfrak{z}_T= 1$, then $\mathfrak{z}$ is a martingale on the time interval $[0,T]$. Martingale property plays an important role in many applications. It is therefore of interest to give natural and easy verifiable conditions for the martingale property. In this paper, the property $\E\mathfrak{z}_{_T}=1$ is verified with the so-called linear growth conditions involved in the definition of parameters of $M$, proposed by Girsanov \cite{Girs}. These conditions generalize the Bene\^s idea, \cite{Benes}, and avoid the technology of piece-wise approximation. These conditions are applicable even if Novikov, \cite{Novikov}, and Kazamaki, \cite{Kaz}, conditions fail. They are effective for Markov processes that explode, Markov processes with jumps and also non Markov processes. Our approach is different to recently published papers \cite{CFY} and \cite{MiUr}.