<title>Abstract</title>Machine learning techniques have proven good performance in classification matters of all kinds: medical diagnosis, character recognition, credit default and fraud prediction, and also foreign exchange market prognosis. Customer segmentation in private banking sector is an important step...

Economic time series are, in their vast majority, integrated series so, their modelling procedure stumbles upon the problem of spurious regression. When existent, cointegration is the simplest way of eliminating the illogical correlation established between time series due to the presence of...

The new programming technologies allow for the creation of components which can be automatically or manually assembled to reach a new experience in knowledge understanding and mastering or in getting skills for a specific knowledge area. A Visual C# .NET implementation under development is...

Option-implied risk-neutral densities incorporate market expectations with respect to the future course of option underlyings. Under the risk neutrality assumption various methods have been developed. In this paper, we look into two of them: parametric mixture of lognormals method and...

This paper presents several views on stochastic aspects in economic modeling. The authors analyzed the necessity of stochastic approach in economics, they described the specificity of stochastic models in this field and they presented the premises of this approach as well as the tools used. An...

This paper analyses whether foreign direct investments have an impact on the Romanian economic growth. By means of simultaneous equation methods we obtained evidence of the bi-directional connection between the two, meaning that incoming FDI stimulates economic growth and, in its turn, a higher...