A GARCH option pricing model with ?-stable innovations
We develop an option pricing model which is based on a GARCH asset return process with ?-stable innovations with truncated tails. The approach utilizes a canonic martingale measure as pricing measure which provides the possibility of a model calibration to market prices. The GARCH-stable option pricing model allows the explanation of some well-known anomalies in empirical data as volatility clustering and heavy tailedness of the return distribution. Finally, the results of Monte Carlo simulations concerning the option price and the implied volatility with respect to different strike and maturity levels are presented.
option pricing garch processes tail truncation stable distributions volatility smile