DocumentCode
3121052
Title
A Monte-Carlo Option-Pricing Algorithm for Log-Uniform Jump-Diffusion Model
Author
Zhu, Zongwu ; Hanson, Floyd B.
Author_Institution
Department of Mathematics, Statistics, and Computer Science, M/C 249, University of Illinois, Chicago, IL 60607-7045 zzhu@math.uic.edu
fYear
2005
fDate
12-15 Dec. 2005
Firstpage
5221
Lastpage
5226
Abstract
A reduced European call option pricing formula by risk-neutral valuation is given. It is shown that the European call and put options for jump-diffusion models are worth more than that for the Black-Scholes (diffusion) model with the common parameters. Due to the complexity of the jump-diffusion models, obtaining a closed option pricing formula like that of Black-Scholes is not viable. Instead, a Monte Carlo algorithm is used to compute European option prices. Monte Carlo variance reduction techniques such as both antithetic and control variates are used. The numerical results show that this is a practical, efficient and easily implementable algorithm.
Keywords
Computer crashes; Cost accounting; Differential equations; Diffusion processes; Mathematics; Monte Carlo methods; Pricing; Solid modeling; Statistics; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN
0-7803-9567-0
Type
conf
DOI
10.1109/CDC.2005.1582991
Filename
1582991
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