One of the central goals in finance is to find better models for pricing and hedging financial derivatives such as call and put options. We present a semi-nonparametric approach to risk-neutral density extraction from option prices which is based on an extension of the concept of mixture density networks. The central idea is to model the shape of the risk-neutral density in a flexible, non-linear way as a function of the time horizon. Thereby, stylized facts such as negative skewness and excess kurtosis are captured. The approach is applied to a very large set of intraday options data on the FTSE 100 recorded at LIFFE. It is shown to yield significantly better results in terms of out-of-sample pricing in comparison to the basic Black-Scholes model and to an extended model adjusting the skewness and kurtosis terms. From the perspective of risk management, the extracted risk-neutral densities provide valuable information about market expectations. (author's abstract) / Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

Thesis (doctoral)--Universität, Innsbruck, 2000.

Marburg, Universität, Thesis (doctoral), 2002.

Univ., Diss.--Zugl.: Tilburg, 2005. / Zsfassung in niederländ. Sprache.

Zugl.: Karlsruhe, Univ., Diss., 2007

Univ., Diss.--Karlsruhe, 2004.

University, Diss., 2003--Mannheim.

Wiss. Hochsch. für Unternehmensführung, Diss., 1998--Koblenz.

Thesis (doctoral)--Universiẗat, Karlsruhe, 2004.

Zugl. Diss.