Abstract
This study investigates the stochastic volatility option pricing model of Hull and White [Journal of Finance 42 (1987) 281]. In particular, this study examines the out-of-sample performance of the pricing model applied to the valuation of covered warrants traded on the Taiwan Stock Exchange (TSE). Warrant values from Hull and White's stochastic volatility model and those from the Black–Scholes model are compared with observed option premiums. Pricing biases related to warrant strike price, time to maturity, volatility, and risk-free interest rate are also considered in this study. Empirical results indicate that the HW model with implied volatility outperforms others in predicting the warrant prices, indicating that the pricing model incorporated with stochastic volatility feature can improve the pricing of warrants. In addition, the pricing errors are systematically related to the degree to which the warrants are in-the-money, and the volatility of the underlying assets.
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