TITLE:
Joint Characteristic Function of Stock Log-Price and Squared Volatility in the Bates Model and Its Asset Pricing Applications
AUTHORS:
Oleksandr Zhylyevskyy
KEYWORDS:
Bates Model; Stochastic Volatility; Jump-Diffusion; Characteristic Function; Option Pricing
JOURNAL NAME:
Theoretical Economics Letters,
Vol.2 No.4,
November
1,
2012
ABSTRACT: The model of Bates specifies a rich, flexible structure of stock dynamics suitable for applications in finance and economics, including valuation of derivative securities. This paper analytically derives a closed-form expression for the joint conditional characteristic function of a stock’s log-price and squared volatility under the model dynamics. The use of the function, based on inverting it, is illustrated on examples of pricing European-, Bermudan-, and American-style options. The discussed approach for European-style derivatives improves on the option formula of Bates. The suggested approach for American-style derivatives, based on a compound-option technique, offers an alternative solution to existing finite-difference methods.