Der Call Center-Markt hat Ende der 90er Jahre und Anfang des neuen Jahrtausends einen rasanten Aufschwung mit zum Teil sehr hohen Ums?tzen erfahren, was zur Folge hatte, dass immer mehr Auskunftsdienstleister auf dem Markt kamen. Als Konsequenz daraus resultiert nun eine versch?rfte...

Die Elektronisierung der Finanzmärkte ist in den letzten Jahren weit vorangeschritten. Praktisch jede Börse verfügt über ein elektronisches Handelssystem. In diesem Kontext beschreibt der Begriff Algorithmic Trading ein Phänomen, bei dem Computerprogramme den Menschen im Wertpapierhandel...

The last decades were marked with an increasing involvement of multi-product manufacturers into cross-border business activities. Dealing with heterogeneous needs of consumers in different countries is one of the biggest challenges in the modern business. Correspondingly, special importance is...

Design of nonlinear observers has received considerable attention since the early development of methods for linear state estimation. The most popular approach is the extended Kalman filter (EKF), that goes through significant degradation in the presence of nonlinearities, particularly if...

Post-Cold War military conflicts have highlighted the need for a flexible, agile joint force responsive to emerging crises around the globe. The 2005 Joint Capabilities Integration and Development System (JCIDS) acquisition policy document mandates a shift away from stove-piped threat-based...

Human forecasting capacity is still very limited. In spite of the extreme efforts of specialists in several different areas for yearsdeveloping scientific knowledge, forecasting various events, such as climatic conditions at a given time, the evolution of a commodityprice in the future, remain...

This paper documents a systematic investigation on the predictability of short-term trends of crude oil prices on a daily basis. In stark contrast with longer-term predictions of crude oil prices, short-term prediction with time horizons of 1-3 days posits an important problem that is quite...

The aim of this paper is to develop new neural network algorithms to predict trading signals: buy, hold and sell, of stock market indices. Most commonly used classification techniques are not suitable to predict trading signals when the distribution of the actual trading signals, among theses...

This research investigated the feasibility and capability of neural network-based approaches for predicting the direction of the Australian Stock market index (the target market). It includes several aspects: univariate feature selection from the historical time series of the target market,...

In light of the difficulties encountered in assessing the value of the CGU (Cash Generating Unit) and of the cash flows associated with goodwill or other intangible assets of a company and after performing the impairment test as provided by the IAS 36-Intangibile Asset and the forecasts related...