This paper proposes a novel approach to the combination of conditional covariancematrix forecasts based on the use of the Generalized Method of Moments (GMM). Itis shown how the procedure can be generalized to deal with large dimensional systemsby means of a two-step strategy. The finite sample...

This paper analyzes the current use of incentive-fee-concepts for mutual funds inGermany. Following an empirical analysis about the relevance of these methods,the different methods of calculation and the influence of different parameters aredescribed. Further on it explains the impacts of...

Seit dem Fall des Eisernen Vorhangs im Jahre 1989 befinden sich die zentral-, ost- und süd-osteuropäische Länder in einem Übergang von kommunistischen zu marktwirtschaftlich orientierten Volkswirtschaften. Eng damit verknüpft ist die Entstehung von Börsen für Aktien, die in den letzten...

Neben den klassischen Performancemaßen, wie der Sharpe-Ratio, der Treynor-Ratio und dem Jensen-Alpha wurden in den letzten Jahrzehnten weiterführende Ansätze für die Analyse und Bewertung vonKapitalanlagen entwickelt. Die moderneren Performancemaße verlangen keine Konstanz derRisikomaße...

The minimisation of the return variance is one of the classical topics of portfolio theory. One of the main difficulties of variance minimisation is the neccessary input factors- variances and covariances- of the assets of the investment universe- are unknown. Often these variances and...

In the experimental scenario several agents repeatedly invest in n (n _ 2)state-specic assets. The evolutionarily stable and equilibrium (Blume andEasley, 1992) portfolio for this situation requires to distribute funds accordingto the constant probabilities of the various states. The dierent...

In this paper we experimentally test skewness seeking at the individuallevel. Several prospects that can be ordered with respect to the third-degreestochastic dominance (3SD) criterion are ranked by the participants of theexperiment. We find that the skewness of a distribution has a...