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Monte Carlo methods in finance
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=== Quasi-random (low-discrepancy) methods === {{main|Quasi-Monte Carlo methods in finance}} Instead of generating sample paths randomly, it is possible to systematically (and in fact completely deterministically, despite the "quasi-random" in the name) select points in a probability spaces so as to optimally "fill up" the space. The selection of points is a [[low-discrepancy sequence]] such as a [[Sobol sequence]]. Taking averages of derivative payoffs at points in a low-discrepancy sequence is often more efficient than taking averages of payoffs at random points.
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