An objective of my graduation thesis is an analysis of hedge funds and hedge strategies while reflecting the distribution of the investments to right portfolio taking into account the risk. The main aim is to provide clear and consistent classification of whole variety of different hedge styles and strategies. There are plenty of different investment and trading strategies of hedge funds and their classification differs from analyst to analyst and from database to database. The work focuses on finding an alternative consistent classification of hedge funds which will lead to improvement of investment decisions of financial market participants, to effective distribution of the investment portfolio and therefore to elimination of undiversified risks. For the practical analysis I use real data of hedge fund returns of particular relevant time period. I focus on research and description of possible methods of hedge fund classification mentioning their pluses and minuses. After passionate evaluation of each method I have chosen two methods according to which I classify the hedge funds datasets and finally I compare the results of both. The theoretical part of work focuses on definition of hedge funds, hedge styles and strategies, pluses and minuses as well as risk accompanying particular strategy.

The diploma thesis explores with the evaluation of the success of selected indices for determining the number of clusters used in cluster analysis. The aim of this thesis is on the basis of various combinations of clustering methods and distances verify whether, alternatively using which clustering methods and distances is it possible to rely on the results of indices for determining the number of clusters. The results of success rate presented in the third chapter suggest that not all of indices for determining the number of clusters can be used universally. The most successful index is Dunn index, which was able to determine the correct number of clusters in 37 % of cases, respectively Davies-Bouldin index with the share of 70 % when including deviation of one cluster. The success rate is affected by both used method and selected distance.

Dissertation follows up cluster analysis of European Union states using social and economical indicators. In the first part all the social and economical indicators are defined. In the second part of the dissertation all these indicators in time of economical and financial and later debt crisis in years from 2007 to 2012 in European Union states are analysed. In the third part the cluster analysis is applicated for the social and economical indicators of the European Union states. Five clusters were identified using cluster analysis. Structure of these clusters was changing during years 2007 and 2012. First cluster contained developed Western European countries (Belgium, Denmark, Germany, Ireland, France, Netherlands, Austria, Finland, Sweden and United Kingdom). The second cluster was created from countries, that entered to European Union after year 2004 (Bulgaria, Estonia, Croatia, Latvia, Lithuania, Hungary, Poland, Romania and Slovakia). The third cluster contained Czech Republic, Estonia, Greece, Lithuania, Portugal, Slovakia and Slovenia. In the fourth cluster were Southern European countries Greece, Spain, Italy, Cyprus and Malta and the fifth cluster contained only Luxembourg.

Unemployment is a common phenomenon in economy. The unemployment rate is an indicator reflecting the economic situation significantly. Unemployment is followed by the public intensively and that is why it is an important political topic. To fight unemployment it is necessary to analyze its current state, development and estimated future prospects. This thesis is focused on analysis of the state and development of unemployment in the Czech Republic and EU. Its future development is estimated using the Box-Jenkins method.

Bitcoin and other cryptocurrencies are getting into common usage more and more frequently. Unfortunately this spread is connected with attempts to misuse their principles for personal benefit. The goal of this thesis is to explain the main principles of using bitcoin in relation to the internet identity. This connection is represented by two sources in the thesis: the first is a bitcoin blockchain, the second is the sum of various user profiles used in discussion forums and similar websites. The aim is to create and explain the process how to, by using the combination of this two sources, reveal the identity of a human using cryptocurrencies for payment (from a private person point of view). First, methods used for extraction of correct and useful data from the blockchain and internet profiles must be developed to be able to mine data from the joint database, merging into a full user profile containing personal data. Results of this investigation are extended by the rules of preserving anonymity on the internet, containing both technological and behavioural measures avoiding a share of personal data. The end of this thesis explains possible attack vectors that might be used for compromising cryptocurrencies. The methods of searching of the internet identity are a useful tool for facing these attacks.

Main goal of this thesis is to analyze human development index for European countries and provide cluster analysis not only of human development index but even of another quality of life variables and to find similarities between particular countries by using hierarchical methods. The first part focuses on quality of life and definition of human development index. Human development index is one possibility how to measure quality of life, there are mentioned another possibilities, though how to analyze it. The second part of the thesis focuses on cluster analysis definition, which is used for searching for similarities between particular countries. Five hierarchical cluster methods is used for classify countries into clusters. Euclidean metric is used for express the distance between countries. Similar variables between countries is judged according to sorting into clusters by hierarchical methods. Diploma thesis enlightens similarity between European countries from quality of life overview and provides statistical evidence about this topic. Results of the thesis confirms similarities between geographical close states.

This work is aimed to determine whether the Czech Republic is ready to enter to the third stage of European economic and monetary union which is associated with the adoption of the euro, and that regarding the fulfillment of the formal entry criteria and also in terms of alignment of the Czech economy with the rest of the eurozone. On that basis evaluate whether it is advantageous for the country to adopt the euro. The first part introduces the different stages of regional integration, as well as the theory of optimum currency areas and economic governance in the European Union. The second chapter is devoted to evaluate the readiness of the Czech Republic to join the euro zone from three perspectives. First, fulfillment of nominal convergence criteria is evaluated. Real convergence and macroeconomic imbalances within the euro area are assessed using cluster analysis. The second approach is to analyze whether EMU constitute an optimal currency area. At the end the experience, of three countries of the eastern enlargement, with changeover to a common currency are presented.

The target of this diploma thesis is to analyze the situation of Czech mother on the labour market. The theoretical part will be created from the accessible literary resources and public databases. By providing databases made into tables and charts of the most problematical influences which affect the situation of a woman on the Czech labour market. The practical part presents methodology of the diploma thesis. Then the typology of family policy in the chosen European countries is tested by means of cluster analysis. This section represents very important research part because the national family policy acts upon womans possibilities how to bring family and career into balance after finishing maternity and parental leave. Subsequently the questionairre Woman in the situation of mother on the labour market is spread into all regions of the Czech Republic and afterwards evaluated. On top of that that five hypothesis with different factors as a womans current income, education level and number of her children will be tested to deepen the issue of women chance on the Czech labour market.

The main goal of the thesis is to analyze the basic indicators of marriage rate, divorce rate and the proportion of live births outside marriage. The first part is focused on the evaluation of the past and present development of the selected indicators. The thesis also includes a prediction of the future development of these indicators by using the Box-Jenkins methodology. The last part is dedicated to an international comparison of marriage, divorce and non-marital fertility indicators in the selected countries of the European Union. Moreover, the last part also includes a cluster analysis, where countries are divided into homogeneous groups according to the selected indicators.

The thesis deals with the comparison of the 27 European educational systems. The topic covers all main aspects of education funding system at higher education level and defines the impact of funding policy on educational standard. The following part of the thesis aims at key issues of tertiary education in other countries of the European Union. The topic focuses on the main policy goals of public funding, different forms of funding mechanisms, financial autonomy and control, the extent to which access to educational institutions is free, private contributions, the system of grants, scholarships, loans and other financial and social support for learners and their families. It is described their common features and their specifics. The thesis deals with the different approach of funding higher education in time of economic growth and recession. The last part of this thesis is devoted to grouping of states based on the defined information and other data of tertiary education and to determining the sequence of the states of the European Union by the standard of education.