The Girsanov Theorem is a fundamental result in stochastic calculus that provides a way to change the probability measure of a stochastic process, particularly in the context of Brownian motion. This theorem allows for the transformation of a Brownian motion with drift into a standard Brownian motion, which simplifies the analysis of stochastic processes and is essential for financial modeling and risk management.
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