Abstract:

The aim of the article is to analyze term 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 this phenomenon in different time horizons. Trend analysis and long and short period dependencies in trade globalisation are based non-linear ordering 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.