This paper concerns locally optimal experimental designs for non- linear regression models. It is based on the functional approach intro- duced in (Melas, 1978). In this approach locally optimal design points and weights are studied as implicitly given functions of the nonlinear parameters...

An attractive nonparametric method to detect change-points sequentially is to apply control charts based on kernel smoothers. Recently, the strong convergence of the associated normed delay associated with such a sequential stopping rule has been studied under sequences of out-of-control models....

Hausbanken sind oft aktiv in die Restrukturierung und Sanierung ihrer notleidenden Firmenkunden involviert. Dieses Papier analyziert den Anreize von Banken zum Aufbau von Restrukturierungsexpertise. Insbesondere untersuchen wie diese Anreize durch Kreditsicherheiten beeinflußt werden. Unsere...

We analyze how a firm might protect quasirents in an environment of imperfect capital markets, where switching lenders is costly to the borrower, and contracts are incomplete. As switching costs make the firm vulnerable to ex post exploitation, it may want to diversify lending. Multiple-source...

The paper presents an approach to the analysis of data that contains (multiple) structural changes in a linear regression setup. We implement various strategies which have been suggested in the literature for testing against structural changes as well as a dynamic programming algorithm for the...

We show that the weak Pareto law, as used to characterize the tail behaviour of income distributions, implies regularly varying tail probabilities, but that the reverse implication does not hold. We also establish implications among other versions of the weak Pareto law.

A workbench for knowledge acquisition and data analysis is presented and its use for the classification of business cycles is investigated. Inductive Logic Programming (ILP) allows to model relations between intervals, e.g. time or value intervals. Moreover, the user of the workbench is...

In order to replace the univariate indicators standard in the literature (cp. [Opp96]) by a multivariate representation of business cycles, the relevant 'stylized facts' are to be identified which optimally characterize the development of business cycle phases. Based on statistical...

Die finanzwirtschaftliche Bedeutung von Kreditausfällen und Kreditausfall- Prognosen bedarf keiner weiteren Begründung. Dieser Bedeutung angemessen, gibt es inzwischen eine Vielzahl von Modellen und Verfahren, die Ausfallwahrscheinlichkeiten von Bankkrediten oder Industrieanleihen zu...

This paper illustrates the Support Vector Method for the classification problem with two and more classes. In particular, the multi-class classification Support Vector Method of Weston and Watkins (1998) is correctly formulated as a quadratic optimization problem. Then, the method is applied to...