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Population ageing is a demographic issue that emphasises the need to be interested in the lives of the most vulnerable population group: the elderly population. The paper investigates the ageing process and their relations among the European Union member countries from 2009 to 2019. These countries are assessed and dispersed to the appropriate clusters according to several indicators related to the areas that affect the lives of the elderly population: namely, the health status, the labour market conditions, and financial security. The focus is on the age group 55 years and over as it is a disadvantaged age group in the job application process regarding ageing society. It is a significant aspect of public finance system. The European Union Statistics on Income and Living Conditions, the Labour Force Survey, and the European System of Integrated Social Protection Statistics data are involved. The quantitative approaches are applied in the cluster analysis and followed by the panel data linear regression analysis. The dendrograms visualise the three clusters representing the mutual relations and the ageing patterns among the explored countries. The heat maps are created to prove the potential relations among the observed countries. The panel regression model demonstrates that the three variables – part-time employment, the income inequality, and the material and social deprivation – are statistically significant in all the regression models for the whole area and the three clusters. The analytical outcome could be applied as a valuable resource to government and national representatives. It can help identify the objectionable determinants for a custom policy and implement appropriate measures to improve the situation of the elderly population.

This study analyzes the impact of foreign direct investment inflow on the economic development of Nigera. The literature review covered the main topics related to the research, such as foreign direct investment, economic development and their relationship, and a comparison of the evolution of the chosen variables in time in Nigeria with the other countries. Annual time series data for the research were obtained from the World Bank database, ranging from 2003 to 2020. As a method of analysis, the ordinary least square (OLS) technique is used to estimate the multivariate regression model, together with the Unit root (ADF) test and Johansen cointegrations test. The dependent variable for the research was Human Development Index (HDI), and the independent variables were Foreign direct investment (FDI), Gross fixed capital formation (GFCF) and Labour force (LF). The results show that while LF has a significant positive impact on HDI, FDI and GFCF have no significant impact on HDI in the analysed period.

This thesis deals with the deepening of relations between the Czech Republic and its priority countries (for the period 2006-2010) within the framework of Czech bilateral development cooperation. The main research question of the thesis is the influence of development cooperation on the expansion of cooperation between the Czech Republic and its priority countries. In the theoretical part of the thesis, the main assumptions concerning the deepening of cooperation are presented. The main theoretical framework is the spillover theory. The main hypotheses of this theory are presented and applied to the selected case. The observed areas in which cooperation is expected to increase are the political sphere, the economic sphere, culture sphere and the military sphere. For every sphere was chosen measurable indicator. Paired countries with comparable conditions were selected as priority countries. The conditions on the basis of which the countries are paired are comparable history, GDP per capita, population size and trade with the Czech Republic before the period under review. The method used to answer the research question is regression analysis. In this case, the dependent variable is the growth of the selected indicators for the selected regions. The independent variable is development cooperation,...

The diploma thesis pays attention to small and medium-sized enterprises and indicators of regional development. The aim of the thesis is to evaluate the performance of small and medium-sized enterprises of the processing industry in the Vysočina region in the context of the development of the region. The work is divided into two parts. In the first part, a literature review is prepared, which serves as a basis for the research part. The second part is made up of the test itself. First, the social and economic situation of the Vysočina region is evaluated here. Subsequently, an analysis of the performance of the companies is carried out based on the selected indicators and their median. The last part evaluates the importance between regional development indicators and performance indicators. This research is carried out using a correlation matrix, where dependence was determined, and multiple regression analysis, which evaluates the statistical significance of dependence. Multiple regression showed a low level of significance between indicators. The highest influence was demonstrated between the unemployment indicator and performance indicators.

Diploma thesis focuses on residual value of passenger cars in the Czech Republic. The aim is to find out, which factors and in which way affect the residual value. Accurate prediction of residual value is crucial for companies offering passenger cars on operating lease. The focus is not only on the impact of technical characteristics of a vehicle on its residual value but also on possibilities of improving predictions of residual value with the help of external data. Results show that it is highly appropriate to build models on car model level not only on brand level. There is found negative effect of milage, lease length, generation age and diesel engine on residual value within chosen group of cars. Furthermore, there is found positive effect of engine power, engine capacity and additional equipment on residual value within some car segments. In the thesis there are also outlined possibilities of incorporating external factors to residual value predictions.

Slimák R. The impact of selected indicators on the price development of Bitcoin. Diploma thesis.Brno: Mendel University, 2022. This thesis deals with the influence of selected factors on the development of the price of Bitcoin. Thanks to literary research of scientific articles dealing with the price development of Bitcoin, specific variables will be selected, which will be subjected to a regression analysis in the practical part. The main benefit of this work is the study of relationships in specific periods, which are defined by Bitcoin halving. In addition to the regression analysis, the work deals with a graphical analysis of selected relationships, an elementary interpretation of the basic properties of Bitcoin together with a more detailed analysis of the mentioned halving and a separate chapter on the basic methods of asset evaluation. The results of the work are critically evaluated in the discussion and compared with the results of scientific articles. In the end, the work tries to summarize whether and or how investor's view of this non-traditional asset has changed in the monitored periods and thus offer an alternative view of Bitcoin's involvement in the portfolio.

The objective of this diploma thesis is to propose measures that will lead to a positive development of economic value added in the brewing industry. The literature review is focused on general issues of financial management and evaluation of company performance. The economic value added is specified in more detail. In the part of the sectoral analysis, the specifics of the brewing industry are discussed using selected methods. For the analytical part of the thesis, a research sample of enterprises from the brewing sector is chosen using a criterion selection. In the context of financial management, an analysis of selected ratio indicators is carried out. To identify the key factors influencing the economic value added, a panel regression analysis is selected, within which an EVA decomposition model is estimated and which also complements the model of selected ratio indicators. For the conclusion, recommendations based on the results of the analyses performed are formulated.