This thesis deals with health care and health systems in Slovakia. Aim of the study is focused on exploring the formation of supply and demand for health services in inpatient facilities in Slovakia and expected use of health care based on real demographic. Results of the analysis indicate that on current healthcare market in Slovakia is possible to characterize the supply, demand and elasticity only with data bias given by restrictions on the market.

(Geo)demographic factors of consumers' behaviour Abstract The master's thesis deals with issues of consumer behavior in its theoretical plane. In order to empirically analyze behavior of consumers on the demand of housing, within the limits of population development of the Slovak Republic between the years 1990 and 2060. The objective of the analysis is the construction of housing demand query functions in the Slovak Republic, which indicates the trends of housing demand. Model translates demographic changes in the population behavior in quantitative and structural changes of the housing demand. The result is that, despite the expression of uncertainty in the development of behavioral population has forecast housing demand for the high rate of inertia. The latter starting from the stability of the age structure of the population. We are assuming that the period of the next sixty years will be characterized by changes in trends in the development of the population of a continuously aging population. What was negative and reflected in the curve of housing demand. Keywords: consumer, purchaser, demographic changes, population forcast, demand forcast, real estate, housing demand

The subject of my Master´s Thesis is the technical analysis. Teoretical part is about the approach of the theoretical issues, description of its individual methods, in the second part I'm concerned with the practical use of technical analysis in trading on the financial market and at the end of the thesis I will evaluate the effect of using the technical analysis in practice, in general also in the specific cases I investigated, I summarize its advantages and disadvantages.

The goal of this Master's thesis is to analyze financial data by focusing primarily on the search of market inefficiencies that may lead to capitalization of found anomalies. The data comes from various sources and they need to be preprocessed. The analysis is based on high frequency time series statistical methods. The resultant characteristics are visualized.