%0 Journal Article %A Lim, G.C. %A Martin, Gael M. %A Martin, V.L. %D 2017 %T Parametric Pricing of Higher Order Moments in S&p500 Options %U https://bridges.monash.edu/articles/journal_contribution/Parametric_Pricing_of_Higher_Order_Moments_in_S_p500_Options/5072338 %R 10.4225/03/5934b4624c6b2 %2 https://bridges.monash.edu/ndownloader/files/8587654 %K skewness %K generalised Student t %K 1959.1/2307 %K 2002 %K kurtosis and time-varying volatility %K Option pricing %K volatility smiles and skews %K monash:2307 %X A general parametric framework is developed for pricing S&P500 options. Skewness and leptokurtosis in stock returns as well as time-varying volatility are priced. The parametric pricing model nests the Black-Scholes model and can explain volatility smiles and skews in stock options. The data consist of S&P500 options traded on select days in April, 1995, a total sample of over 500,000 observations. A number of performance criteria are used to evaluate the alternative models. The empirical results show that pricing higher order moments yield improvements in the pricing of options over the Black-Scholes model as well as other models. %I Monash University