Die Gestaltung der Produktpalette war ein zentrale Herausforderung für ostdeutsche Unternehmer nach der Wende. Spezialisierung oder diffuse Generalistenstrategie war die Frage. Welche Strategie sich durchgesetzt hat und ob der Anschluss an den Westen gelang, wird in dieser Arbeit erstmals auf...

Exporte gelten als Wachstumsmotor der deutschen Wirtschaft und werden von der Wirtschaftspolitik auf vielfältige Weise gefördert. Doch führt die Förderung der Aufnahme von Handelsbeziehungen mit dem Ausland durch Betriebe, die bislang nicht exportierten, wirklich zu einem Wachstum der...

This study proposes a novel framework for the joint modelling of commodity forward curves. Its key contribution is twofold. First, dynamic correlation models are applied in this context as part of the modelling scheme. Second, we introduce a family of dynamic conditional correlation models based...

In this paper we introduce the dynamic semiparametric factor model (DSFM) for electricity forward curves. The biggest advantage of our approach is that it not only leads to smooth, seasonal forward curves extracted from exchange traded futures and forward electricity contracts, but also to a...

We propose a general class of Markov-switching-ARFIMA processes in order to combine strands of long memory and Markov-switching literature. Although the coverage of this class of models is broad, we show that these models can be easily estimated with the DLV algorithm proposed. This algorithm...

High-dimensional regression problems which reveal dynamic behavior are typically analyzed by time propagation of a few number of factors. The inference on the whole system is then based on the low-dimensional time series analysis. Such highdimensional problems occur frequently in many different...

We consider two semiparametric models for the weight function in a bias sample model. The object of our interest parametrizes the weight function, and it is either Euclidean or non Euclidean. One of the models discussed in this paper is motivated by the estimation the mixing distribution of...

The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied Volatility Surface (IVS). Practical applications require reducing the dimension and characterize its dynamics through a small number of factors. Such dimension reduction is...

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...