An improved simulation method for pricing high-dimensional American derivatives

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Bibliographic Details
Title: An improved simulation method for pricing high-dimensional American derivatives
Authors: Boyle, Phelim P.1, Kolkiewicz, Adam W.2, Tan, Ken Seng2 kstan@uwaterloo.ca
Source: Mathematics & Computers in Simulation. Mar2003, Vol. 62 Issue 3-6, p315. 8p.
Subjects: Monte Carlo method, Dynamic programming
Abstract: In this paper, we propose an estimator for pricing high-dimensional American-style options and show that asymptotically its upper bias converges to zero. An advantage of the proposed estimator is that when combined with low discrepancy sequences, it exhibits a superior rate of convergence. Numerical examples are conducted to demonstrate its efficiency. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:In this paper, we propose an estimator for pricing high-dimensional American-style options and show that asymptotically its upper bias converges to zero. An advantage of the proposed estimator is that when combined with low discrepancy sequences, it exhibits a superior rate of convergence. Numerical examples are conducted to demonstrate its efficiency. [Copyright &y& Elsevier]
ISSN:03784754
DOI:10.1016/S0378-4754(02)00248-3