• 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