@Article{mfj:1252,
title={Skewed Generalized Error Distribution of Financial Assets and Option Pricing},
author={Panayiotis Theodossiou},
journal={Multinational Finance Journal},
volume={19},
number={4/4},
pages={223--266},
year=2015,
publisher={Multinational Finance Society; Global Business Publications},
url={http://www.mfsociety.org/../modules/modDashboard/uploadFiles/journals/MJ~0~p1a4fjq38m1k2p45t6481fob7rp4.pdf}
keywords={asymmetric volatility; call option pricing; conditional heteroskedasticity; geometric Brownian motion; skewed GED},
abstract={This article provides a mathematical and empirical investigation of the reasons for the presence of skewness and kurtosis in financial data. The results indicate that this phenomenon is triggered by higher-order moment dependencies in the data, such as asymmetric and conditional volatility. Moreover, the article develops and tests successfully a skewed extension of the generalized error distribution (SGED), which is then used to model European call option prices. Under the standard assumptions of risk neutrality, normality of log-returns, and absence of arbitrage opportunities, the SGED model yields as special cases several well-known models for pricing options on stocks, stock indices, currencies, and currency futures..},
}