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 Generating sample paths and their convergence of the geometric fractional Brownian motion Bull. Korean Math. Soc. 2018 Vol. 55, No. 4, 1241-1261 https://doi.org/10.4134/BKMS.b170719Published online July 31, 2018 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 Downloads: Full-text PDF