Monte Carlo methods for security pricing
1997; Elsevier BV; Volume: 21; Issue: 8-9 Linguagem: Inglês
10.1016/s0165-1889(97)00028-6
ISSN1879-1743
AutoresPhelim Boyle, Mark Broadie, Paul Glasserman,
Tópico(s)Probabilistic and Robust Engineering Design
ResumoThe 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 recent applications of the Monte Carlo method to the estimation of partial derivatives or risk sensitivities and to the valuation of American options. We conclude by mentioning other applications.
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