This paper considers the introduction of stock options in an (dynamically) incomplete securities market made up of a riskless bond and the stock. The stock price follows a geometric Brownian motion with constant drift. However, there is incomplete information about the unknown stochastic...

A situation in which the regularity in nature can be utilized while competition is to be avoided is modelled by the Parasite game. In this game regular behaviour could enhance guessing nature but strategic randomization is required to avoid being outguessed. In an experiment, 60 pairs of...

We examine the impact of performance groups on the estimation of the relative importance of firm, industry and other effects on corporate performance. Performance groups comprise firms from the same industry with a similar performance over a longer period of time. We present a statistical method...

The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one's data or a model estimated from the data. The methods that are available for implementing the bootstrap and the accuracy of bootstrap estimates depend on whether the data are a random...

The analysis of volatility in financial markets has become a first rank issue in modern financial theory and practice: Whether in risk management, portfolio hedging, or option pricing, we need to have a precise notion of the market's expectation of volatility. Much research has been done on the...

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on multivariate GARCH models. These models assume that the variance of the innovation distribution follows a time dependent process conditional on information which is generated by...

We introduce the notion of a convex measure of risk, an extension of the concept of a coherent risk measure defined in Artzner et aL (1999), and we prove a corresponding extension of the representation theorem in terms of probability measures on the underlying space of scenarios. As a case...

Updating behavior in cascade experiments is usually investigated on the basis of urn prediction. But urn predictions alone can only provide a very rough information on individual updating behavior. Therefore, we implement a BDM mechanism. Subjects have to submit maximum prices that they are...

This paper suggests a general functional-coefficient regression model in a form of ARX time series model. Contrast to the common threshold variable in the previous works, our model allows each coefficient to possess a different threshold variable and can cover a wide range of nonlinear dynamic...