Stochastic Integrals and Two Filtrations
Abstract
In the definition of the stochastic integral, apart from the integrand and the integrator, there is an underlying filtration that plays a role. Thus, it is natural to ask: Does the stochastic integral depend upon the filtration? In other words, if we have two filtrations, ( F) and ( G), a process X that is semimartingale under both the filtrations and a process f that is predictable for both the filtrations, then are the two stochastic integrals - Y=∫ f\,dX, with filtration ( F) and Z=∫ f\,dX, with filtration ( G) the same? When f is left continuous with right limits, then the answer is yes. When one filtration is an enlargement of the other, the two integrals are equal if f is bounded but this may not be the case when f is unbounded. We discuss this and give sufficient conditions under which the two integrals are equal.
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