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
Link To Document :
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