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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 shows that the presence of conditional staging in R&D (Research & Development) has a critical impact on portfolio risk, and changes diversification arguments when a portfolio is constructed. When R&D projects exhibit option-like characteristics, correlation between projects plays a...
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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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We present an application of importance sampling in a Monte Carlo simulation for multi-asset options and in a Multi …-Level Monte Carlo simulation. We demonstrate that applying importance sampling only on the first level of the Multi-Level Monte …. Moreover, we combine it with the importance sampling to reduce the variance of the Greeks. Finally, we study the impact of the …
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