In this paper the application of Arbitrage Pricing Theory (APT) and multifactorial pricing is studied on the Swiss stock market. In order to estimate the factors used in the multifactorial model, it is proposed to use the new method of Independent Component Analysis. This method laying on neural...

We examine intertemporal asset pricing when short sales are constrained in proportion to the value of an investor's portfolio. All assets' prices exceed every investor's marginal utility of consumption-based valuation of the associated dividends if every investor finds himself constrained in...

Prior work on option pricing falls mostly in two categories: it either relies on strong distributional or economical assumptions, or it tries to mimic the Black-Scholes formula through statistical models, trained to fit today's market price based on information available today. The work...

This paper uses asymmetric heteroskedastic normal mixture models to fit return data and to price options. The models can be estimated straightforwardly by maximum likelihood, have high statistical fit when used on S&P 500 index return data, and allow for substantial negative skewness and time...

We estimate a generalized option pricing formula that has a functional shape similar to the usual Black-Scholes formula by a feedforward neural network model. This functional shape is obtained when the option pricing function is homogeneous of degree one with respect to the underlying asset...