Using the 2007 Mannheim innovation survey, we investigate whether family firms are more financially constrained than other firms and how this affects both innovation input as well as innovation outcomes such as market and firm novelties or process innovations. Based on the CDM framework,...

The purpose of this work is to introduce one of the most promising among recently developed statistical techniques – the support vector machine (SVM) – to corporate bankruptcy analysis. An SVM is implemented for analysing such predictors as financial ratios. A method of adapting it to...

Graphical data representation is an important tool for model selection in bankruptcy analysis since the problem is highly non-linear and its numerical representation is much less transparent. In classical rating models a convenient representation of ratings in a closed form is possible reducing...

Graphical data representation is an important tool for model selection in bankruptcy analysis since the problem is highly non-linear and its numerical representation is much less transparent. In classical rating models a convenient representation of ratings in a closed form is possible reducing...

This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...

This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...

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...