Proceedings of International Conference on Business, Management and Economics
Foreign Direct Investment in Europe in Different Time Perspectives
The aim of the article is to analyze foreign direct investment in Europe in different time perspectives. In addition the aim of the article is indication using the appropriate tools and models of factors having the greatest and least impact on the development of thisphenomenon in different time horizons. Trend analysis and long and short period dependencies in foreign direct investment are based on the DTW algorithm and wavelet analysis. A discrete wavelet was used for wavelet analysis of the time series studied. In the process of discrete wavelet transformation, the received signal is divided into so-called approximation and detail. Approximation is then subjected to a subsequent division into further approximation and detail, while details are not subject to further divisions. In this way, the signal is presented as the sum of the approximation of the last level and the details from all levels.