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Option pricing in the model with stochastic volatility driven by Ornstein--Uhlenbeck process. Simulation

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  • Sergii Kuchuk-Iatsenko
  • Yuliya Mishura

Abstract

We consider a discrete-time approximation of paths of an Ornstein--Uhlenbeck process as a mean for estimation of a price of European call option in the model of financial market with stochastic volatility. The Euler--Maruyama approximation scheme is implemented. We determine the estimates for the option price for predetermined sets of parameters. The rate of convergence of the price and an average volatility when discretization intervals tighten are determined. Discretization precision is analyzed for the case where the exact value of the price can be derived.

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  • Sergii Kuchuk-Iatsenko & Yuliya Mishura, 2016. "Option pricing in the model with stochastic volatility driven by Ornstein--Uhlenbeck process. Simulation," Papers 1601.01128, arXiv.org.
    • Handle: RePEc:arx:papers:1601.01128
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    References listed on IDEAS

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    5. Alan L. Lewis, 2000. "Option Valuation under Stochastic Volatility," Option Valuation under Stochastic Volatility, Finance Press, number ovsv, December.
    6. Wilmott,Paul & Howison,Sam & Dewynne,Jeff, 1995. "The Mathematics of Financial Derivatives," Cambridge Books, Cambridge University Press, number 9780521497893, October.
    7. Sergii Kuchuk-Iatsenko & Yuliya Mishura, 2015. "Pricing the European call option in the model with stochastic volatility driven by Ornstein--Uhlenbeck process. Exact formulas," Papers 1510.01848, arXiv.org.
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