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Options pricing: using simulation for option pricing
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Source Winter Simulation Conference archive
Proceedings of the 32nd conference on Winter simulation table of contents
Orlando, Florida
TUTORIAL SESSION: Advanced tutorials table of contents
Pages: 151 - 157  
Year of Publication: 2000
ISBN:0-7803-6582-8
Author
John M. Charnes  The University of Kansas, Lawrence, KS and INFORMS College
Sponsors
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS-CS : Institute for Operations Research and the Management Sciences-College on Simulation
NIST : National Institute of Standards and Technology
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : The Society for Computer Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 61,   Citation Count: 3
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ABSTRACT

Monte Carlo simulation is a popular method for pricing financial options and other derivative securities because of the availability of powerful workstations and recent advances in applying the tool. The existence of easy-to-use software makes simulation accessible to many users who would otherwise avoid programming the algorithms necessary to value derivative securities. This paper presents examples of option pricing and variance reduction, and demonstrates their implementation with Crystal Ball 2000, a spreadsheet simulation add-in program.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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