Monte Carlo methods for security pricing

作者: Phelim Boyle , Mark Broadie , Paul Glasserman

DOI: 10.1016/S0165-1889(97)00028-6

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摘要: The Monte Carlo approach has proved to be a valuable and flexible computational tool in modern finance. This paper discusses some of the recent applications of the Monte Carlo method to security pricing problems, with emphasis on improvements in efficiency. We first review some variance reduction methods that have proved useful in finance. Then we describe the use of deterministic low-discrepancy sequences, also known as quasi-Monte Carlo methods, for the valuation of complex derivative securities. We summarize some …

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