We propose a multivariate nonparametric technique for generating reliable scenarios and confidence intervals for the term structure of interest rates from historical data. The approach is based on a functional gradient descent (FGD) estimation of the conditional mean vector and the conditional...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...

Using a new data set of small public firms in Germany, this paper analyzes the incentive and entrenchmenteffects associated witrh mangerial equity owernership. The relationship between firm value and insider ownership is found to be nonlinear: at low levels of ownership firm value is positive...

This paper tests two competing hypotheses about the influence of financial institutions as large shareholders on the performance of their industrial portfolio firms: the superior monitoring hypothesis versus the rent extraction hypothesis. The methodology of this study exploits the abolishment...

During the last decade, a surprisingly high percentage of U.S. companies has fulfilled or beatenanalysts´ earnings per share forecasts. One of the most frequently cited reasons for this growingtendency is a change in the nature of U.S. executive compensation structure. As stock options...

We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...

When information is costly, a seller may wish to prevent prospective buyers from acquiring information, for the cost of information acquisition is ultimately borne by the seller. A seller can achieve the desired prevention of information acquisition through posted-price selling, by offering...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...