We introduce a general continuous-time model for an illiquid financial market where the trades of a single large investor can move market prices. The model is specified in terms of parameter dependent semimartingales, and its mathematical analysis relies on the non-linear integration theory of...

We consider models of time continuous financial markets with a regular trader and an insider who are able to invest into one risky asset. The insider's additional knowledge consists in his ability to stop a random time which is inaccessible to the regular trader, such as the last passage of a...

The Normal Inverse Gaussian (NIG) distribution recently introduced by Barndorff-Nielsen (1997) is a promising alternative for modelling financial data exhibiting skewness and fat tails. In this paper we explore the Bayesian estimation of NIG-parameters by Markov Chain Monte Carlo Methods. --...

We have analyzed the impact of agents and their trading strategies on an experimental electronic market. Therefore, we added an XML-interface to an existing electronic market and implemented artificial agents which acted as elements of disturbance in the trading process. These artificial traders...

The paper proposes a financial market model that generates stochastic volatility and stochastic interest rate using a minimal number of factors that characterise the dynamics of the different denominations of the deflator. It models asset prices essentially as functionals of square root and...

In this paper we investigate four hypotheses which are inconsistent with expected utility theory, but may well be explained by prospect theory. It deals with framing, the non-linearity of subjective probabilities, the disposition effect, and the correspondence of different experimental risk...