Die sich ständig verändernden Märkte und Marktgegebenheiten, Innovationen im Bereich der Informations- und Kommunikationstechnologie sowie die Erneuerung des allgemeinen Wertesystems in Verbindung mit einem weiter steigenden Wettbewerbsdruck auf die Unternehmen führen unmittelbar dazu, dass...

In diesem Aufsatz wird der Fragestellung nachgegangen, ob neuronale Netze in der Lage sind Kennzahlen für Warteschlangensysteme zu approximieren. Da für die meisten in der Praxis vorkommenden Warteschlangenprobleme keine exakten, expliziten Lösungen für die Warteschlangenkennzahlen...

Das Papier untersucht, wie Erwartungsbildung mit Hilfe neuronaler Netze modelliert werden kann. Die Grundlage bildet ein Cobweb-Modell, in dem Firmen Preiserwartungen auf Basis eines Feedforward-Netzes bilden.Zunächst wird anhand von Simulationen gezeigt, daß Firmen durch neuronale...

In this paper, a bibliometric study of the computational intelligence field is presented. Bibliometric maps showing the associations between the main concepts in the field are provided for the periods 1996–2000 and 2001–2005. Both the current structure of the field and the...

Financial markets mirror the evolution of real economic industries as much as they influence them reciprocally. In this paper we show an approach how to connect both. We will focus on the impact of industrial dynamics on financial markets. Real economic sectors as well as financial markets will...

The purpose of this chapter is two-fold: (1) to make the case that a standard backward propagation artificial neural network (ANN) can be used as a general model of the information processing activities of the firm, and (2) to present a synthesis of Barr and Saraceno (BS) (2002, 2004, 2005), who...

In this paper, the Local Global Neural Networks model is proposed within the context of time series models. This formulation encompasses some already existing nonlinear models and also admits the Mixture of Experts approach. We place emphasis on the linear expert case and extensively discuss the...

It has been widely recognised that the randomness of a stock market may actually be an indicator of an underlying strange attractor which has a fractal structure and supports chaotic motion. The application of non-linear methods to such financial data may indicate the presence of nonlinearities...

In this article we evaluate the pricing performance of the rather simple but revolutionary Black-Scholes model and one of the more complex techniques (neural networks) on the European-style S&P Index call and put options over the period of 1.6.2006 till 8.6.2007. Our results on call options show...

In the context of Local Polynomial estimators the global bandwidth parameter takes one of most important roles. There are several methods to get a consistent estimator for it. In particular, starting from the Mean Square Error of Local Polynomial estimators, the “plug-in†method is...