A Stochastic Volatility Model, Volatility Smile and Forecasting Volatility
26 Pages Posted: 18 May 2004
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A Stochastic Volatility Model, Volatility Smile and Forecasting Volatility
Abstract
In this paper we propose a stochastic valuation model based on the Fourier transform for option price. This model can be used for the valuation of European options, characterized by two state variables: the price of the underlying asset and its volatility. We model the stochastic processes described by the two variables to obtain a partial derivatives equation whose solution is the price of the derivative. We propose a solution to this partial derivatives equation using the Fourier transform. We assume a non-zero correlation between the underlying asset price and its volatility and two sources of risk: return and volatility. We also propose a volatility smile function.
Keywords: Option valuation, Stochastic volatility, Volatility Smile, Volatility forecasting
JEL Classification: G10, G12, G13
Suggested Citation: Suggested Citation
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