Bulletin of the
Korean Mathematical Society
BKMS

ISSN(Print) 1015-8634 ISSN(Online) 2234-3016

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Bull. Korean Math. Soc. 2018; 55(4): 1241-1261

Online first article March 8, 2018      Printed July 31, 2018

https://doi.org/10.4134/BKMS.b170719

Copyright © The Korean Mathematical Society.

Generating sample paths and their convergence of the geometric fractional Brownian motion

Hi Jun Choe, Jeong Ho Chu, Jongeun Kim

Yonsei University, Yuanta Securities Korea, Yonsei University

Abstract

We derive discrete time model of the geometric fractional Brownian motion. It provides numerical pricing scheme of financial deri\-vatives when the market is driven by geometric fractional Brownian motion. With the convergence analysis, we guarantee the convergence of Monte Carlo simulations. The strong convergence rate of our scheme has order $H$ which is Hurst parameter. To obtain our model we need to convert Wick product term of stochastic differential equation into Wick free discrete equation through Malliavin calculus but ours does not include Malliavin derivative term. Finally, we include several numerical experiments for the option pricing.

Keywords: discrete asset model, Monte Carlo, geometric fractional Brownian motion, Malliavin calculus, Euler-Maruyama scheme, Black-Scholes model

MSC numbers: Primary 60G22

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