Numerical treatment of stochastic models used in statistical systems and financial markets

Ameen Alawneh, Kamel Al-Khaled*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, by means of the variational iteration method, numerical solutions are computed for some stochastic models, without any linearization or weak assumptions. Two stochastic models, the Fokker-Planck equation for non-equilibrium statistical systems and the Black-Scholes model for pricing stock options, are solved numerically. In this approach, the solution is found in the form of a convergent series with easily computed components. The behavior of the approximate solutions is shown graphically.

Original languageEnglish
Pages (from-to)2724-2732
Number of pages9
JournalComputers and Mathematics with Applications
Volume56
Issue number10
DOIs
Publication statusPublished - Nov 2008
Externally publishedYes

Keywords

  • Approximate solutions
  • Financial markets
  • Statistical systems
  • Stochastic analysis
  • Variational method

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computational Theory and Mathematics
  • Computational Mathematics

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