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Statistical Expectation of High Energy Physics Data Sets Separation Algorithms
Hakl, František
Article focuses on the application of the basic results of the statistical learning theory known as Probabilistic Approximately Correct learning in the evaluation and post-processing of unique physical data obtained from the detectors of particle accelerators. The aim of this article is not direct separation of the measured data but evaluation of the appropriateness of separation methods used. The main principles and results of the PAC learning theory are briefly summarized, the main characteristics of selected multivariable data separation algorithms are studied from the VC-dimension point of view. Finally, based on actual data sets obtained from Tevatron D$\emptyset$ experiment, some practical hints for separation method selection and numerical computation are derived.
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The value of life from macroenomic point of view in United States of America, Czech republic and Russia between years 2007-2014
Antoš, Michal ; Zeman, Martin (advisor) ; Brabec, Petr (referee)
The subject of this bachelor thesis is the research of the value of life calculation in the Czech republic, United states of America and Russia in 2007-2014.The main purpose is to analyze and compare values of life and major factors influencing them. The hypothesis is that value of life differs in selected countries due to distinctions of sections influencing them. The theoretical part is devoted to sections directly or indirectly influencing values of life, and then analyzing and comparing them together within the selected countries. The selected sections are education, health care, labor market, inequality and living standards. The practical thesis approach is to calculate the values of life for the individual states. The values of life are calculated for so called, representative individual, who is 40-years old citizen of selected country. In the period, in which is the value of life calculated, the retirement age and life expectancy are also considered in formula. Calculated values are examined and the economic and political measures are offered to the states, which can turn into significant increases in the value of life in future.
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Fiscal rules in selected EU countries between 2004-2015: sensible method for consolidation of public finances or fad of politicians?
Veselý, Lukáš ; Strejček, Ivo (advisor) ; Chmelová, Pavla (referee)
The subject of fiscal rules is very topical issue. The rise of public debt in certain developed countries resulted in what is sometimes called "debt crisis". Debt of those countries which is higher than their annual gross domestic product is viewed as unpayable by some economists. The main objective of this thesis has been to prove or disprove hypothesis that the fiscal rules studied in this paper are an effective solution for public finance consolidation. This verification was based on the analysis of fiscal rules functioning in selected countries between 2004 and 2015. As per results of analysis the paper aims to give recommendations for the Czech financial constitution proposal. The actual results of inquiry proved the hypothesis. Well-chosen fiscal rules are the right way towards fiscal consolidation, provided they are observed. Fiscal rules making thus requires an emphasis to be placed on the well-formulated exit clauses altogether with prospective sanctions. The current Czech financial constitution proposal is built on the correctly picked fiscal rule type, although the reference value lacks economic sense and it would not lead, with a high degree of probability, towards fiscal consolidation.
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The Value of CSR for Czech Consumers
Faradji, Elise ; Štěrbová, Ludmila (advisor) ; Seror, Patricia (referee)
Nowadays consumers purchasing behavior is influenced by new factors such as the social and environmental implication of companies. This is why Corporate Social Responsibility (CSR) is a growing trend which companies need to look after carefully. However implementing an efficient CSR strategy is a complex process for corporations; especially since the core concept of CSR remain quite blurry. The goal of this study is to analyze the perception of consumers towards CSR to find out about the value creation that CSR produce for consumers and its impact on their purchasing behavior. This paper will ultimately help companies to implement their CSR strategy more efficiently. This study aims to contribute by conducting an in-depth analysis of consumers attitudes and behavior towards CSR. If most of researchers are using a quantitative approach this study means to deal with the issue with a qualitative perspective. Indeed twelve semi-structured interviews will support the findings. On top of those practical and physical interviews some theoretical knowledge will be added to the construction of the argument especially to bring a framework that shows the importance of all types of value creation (functional emotional and social). The findings of the thesis emphasize the facts already proven by other researchers; value creation is fundamental to make consumers care about CSR. However the study will show how much skepticism towards CSR can impact negatively consumers purchasing behavior. The research will help companies implementing more successful CSR strategy and develop new solutions to reach customers and influence their purchasing behavior through the creation of value for them.
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Global value chains in the coffee industry focused on Vietnam
Klumparová, Adéla ; Vlčková, Jana (advisor) ; Hnát, Pavel (referee)
Aim of this diploma thesis is to describe functioning of global coffee value chains and this knowledge then apply to the coffee industry in Vietnam which serves as a case study. The introductory chapter focuses firstly on institutional background of value chains, processes and management processes used in the agricultural industry. The thesis also contains analysis of global coffee value chain, including the identification of entities engaged in the chain and their contribution to the creation of added value. Next chapter describes the development of the world coffee market and production of the world's major producers and exporters of coffee. The thesis also deals with the topic of economic and social sustainability and the impact of global value chains on the environment. Final part of the thesis concentrates on the position of the coffee industry in Vietnam, its structure and development over the past 40 years. Attention is paid also to a problematic position of small growers or to the opportunities of the development of the local coffee industry.
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Migration to selected EU countries: Labor market integration
Kaclíková, Roberta ; Šaroch, Stanislav (advisor) ; Němcová, Ingeborg (referee)
The aim of this master thesis is to analyse the labor market of European Union and its certain countries in relation to the immigration with the backgound of various social welfare models. The paper is analysing the topic of labor market of European Union, integration of immigrants on this market, with focus on economies and labour markets of Sweden, United Kingdom and Germany as countries with high level of immigration that are representing three different social welfare models, such as Nordic model, Liberal model and Conservative model. The main objective of this thesis is the analysis of labor markets in selected countries of the European Union in relation to immigration and their subsequent comparison using the background of different social welfare models. The result is the evaluation of effectivness of the various social models based on statistical data, acquired knowledge and performed comparisons. The thesis is divided into four chapters and contains 13 tables and 8 charts.
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Products with Protected Designations of the European Union and Their Position in Regional Tourism
Licková, Kamila ; Kalábová, Markéta (advisor) ; Abrhám, Josef (referee)
The master thesis deals with products with protected designations of the European Union. The main objective of the master thesis is to evaluate the importance of the chosen product with protected designation of the EU in regional tourism and analyse the perception of the product by a producer and by tourists. The sub-objective is the description of the European system of food labelling. The thesis is divided into five main chapters. The first part explains basic concepts which are related to the thesis. The second chapter introduces the best known food quality labels. Greater attention is devoted to the description of the food protection system of the EU. The third chapter deals with the characteristics of the chosen region Beskydy-Wallachia. The second part of this chapter is focused on the chosen protected product Štramberské uši. The forth chapter includes a structured interview with the chosen producer of Štramberské uši and a survey research, which was conducted in two phases. The last chapter contains the evaluation of the implemented survey. The main finding of this thesis is the fact that a relatively high percentage of respondents know the product Štramberské uši. An interesting finding is the fact that only a small portion of them know that the product Štramberské uši is the holder of the protected designation of the European Union. The chosen producer of Štramberské uši sees the main benefit of the label in greater publicity. Among problems he ranks the enforceability of the label and lack of general promotion of Štramberské uši.
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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Differences between men and women in the Czech labour market
Stroukal, Dominik ; Kadeřábková, Božena (advisor) ; Pavelka, Tomáš (referee) ; Němec, Otakar (referee)
This thesis consists of five articles that apply current world research on labor economics at the Czech Republic and confirms the significant differences between men and women in this market. It shows that gender has a significant influence on the preference on the labor market and, consequently, on employment and health. First, the thesis shows that preferences are relevant determinant of career and then we study the difference in preference of salary for men and women. Subsequently it shows that gender plays a significant role in explaining the relationship between homeownership, and unemployment, as well as unemployment and health. The first chapter was able to demonstrate that the preference for a career has a positive influence on the choice of career. The influence of higher education on prioritizing career proved to be positive and significant. Probability of a career choice is reduced by the presence of children, however, is not dependent on their number, which is contrary to the theory of preferences. The second chapter shows that Czech women prefer more non-monetary rewards than men. It has also been shown that people with university education are same in the preferences of non-monetary rewards regardless of the gender of the respondents, however, compared to the world's research, the Czech higher education increases this preference. It turned out that women prefer risk less than men. The third chapter demonstrates that although the housing market undermines labor mobility and employment in the Czech Republic at the regional level, therefore, that in regions with a higher rate of home ownership is higher unemployment, at the individual level, the owners of housing are unemployed are less likely. The estimates are significantly different for men and women. Men living in owner-occupied housing have a higher likelihood of employment than women. At regional level, however, this thesis shows that the high rate of home ownership increases unemployment for both men and women, in the long run only to women. The fourth chapter showed that men transition to homeownership reduces the likelihood of unemployment next year. For women, this relationship has proved to be insignificant. In addition, as insignificant showed the opposite relationship, the transition from unemployment to the newly acquired home ownership. The last chapter shows that the change in the working status to unemployment will increase in the future probability of worse health. Influence in less than two years, however, proved to be significant. An important conclusion is that men have a significantly stronger relationship between health and unemployment than women.
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