Girsanov's Theorem: Transforming Measures for Risk-Neutral Valuation
Students often struggle to distinguish between the 'change of measure' and a mere coordinate transformation. Crucially, Girsanov's Theorem does not change the sample paths of , but rather changes the probability assigned to those paths, effectively absorbing the drift into the measure itself.
Institutional Reference: Advanced Stochastic Processes
View Full Proof →