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In Monte Carlo simulation, Latin hypercube sampling (LHS) [McKay et al. (1979)] is a well-known variance reduction … technique for vectors of independent random variables. The method presented here, Latin hypercube sampling with dependence (LHSD …
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This paper proposes a new method for pricing American options that uses importance sampling to reduce estimator bias …. Our numerical results show that this method successfully reduces the bias plaguing the standard importance sampling method …
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Recently it was shown that the estimated American call prices obtained with regression and simulation based methods can be significantly improved on by using put-call symmetry. This paper extends these results and demonstrates that it is also possible to significantly reduce the variance of the...
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