Parametric Pricing of Higher Order Moments in S&p500 Options
journal contributionposted on 05.06.2017 by Lim, G.C., Martin, Gael M., Martin, V.L.
Any type of content formally published in an academic journal, usually following a peer-review process.
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.