The unbiasedness hypothesis -- the joint hypothesis of uncovered interest parity (UIP) and rational expectations -- has been almost universally rejected in studies of exchange rate movements. In contrast to previous studies, which have used short-horizon data, we test this hypothesis using...

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...

We investigate (i) whether traders on an experimental asset market form different and separate mental accounts for sale revenues and for dividend earnings and whether (ii) an increase in tax penalty or (iii) an increase in audit frequency increases tax compliance. The results indicate that...

This paper introduces a benchmark model for financial markets, which is based on the unique characterization of a benchmark portfolio that is chosen to be the growth optimal portfolio. The general structure of risk premia for asset prices and portfolios is derived. Furthermore, the short rate is...

In this paper individual overconfidence within the context of an experimental asset market is investigated. Overall, 72 participants traded one risky asset on six markets of 12 participants each. The results indicate that individuals were not generally overconfident. Moreover, overconfidence was...

We propose two nonparametric transition density-based speciÞcation tests for continuous-time diffusion models. In contrast to marginal density as used in the literature, transition density can capture the full dynamics of a diffusion process, and in particular, can distinguish processes with...

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...

Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide 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. --...