An option is a security that gives the holder the right to buy or sell an asset at a specified price at a future time. This paper focuses on deriving and testing option pricing formulas for the Heston model [3], which describes the asset’s volatility as a stochastic process. Historical option data provides a basis for comparing the estimated option prices from the Heston model and from the popular Black-Scholes model. Root-mean-square error calculations find that the Heston model provides more accurate option pricing estimates than the Black-Scholes model for our data sample.
Keywords: Stochastic Volatility Model, Option Pricing, Heston Model, Black-Scholes Model, Characteristic Function, Method of Moments, Maximum Likelihood Estimation, Root-mean-square Error (RMSE)
An option is a security that gives the holder the right to buy or sell an asset at a specified price at a future time. This paper focuses on deriving and testing option pricing formulas for the Heston model [3], which describes the asset’s volatility as a stochastic process. Historical option data provides a basis for comparing the estimated option prices from the Heston model and from the popular Black-Scholes model. Root-mean-square error calculations find that the Heston model provides more accurate option pricing estimates than the Black-Scholes model for our data sample.Keywords: Stochastic Volatility Model, Option Pricing, Heston Model, Black-Scholes Model, Characteristic Function, Method of Moments, Maximum Likelihood Estimation, Root-mean-square Error (RMSE)
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