Girsanov transformations describe how Brownian motion and, more generally, local martingales behave under changes of the underlying probability measure. Let us start with a much simpler identity applying to normal random variables. Suppose that X and are jointly normal random variables defined on a probability space . Then is a positive random variable with expectation … Continue reading Girsanov Transformations
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