| |
|
Korupce v křesťanském národě: „Ovlivňuje křesťanská víra úroveň korupce ve společnosti?“
Kraus, František ; Houdek, Petr (advisor) ; Svoboda, Miroslav (referee)
What are the determinants of corruption? This thesis builds upon contemporary approaches to assessing the level of corruption in different countries using purely economic determinants such as the aggregate income, level of education, openness to trade or taxation. This method is further enhanced by involving variables mapping the religiosity of the surveyed states as institutional determinants. Faith works as an agent that reduces selfish behavior and stresses moral values, thus it should prove to reduce corruption. The dataset involves data of 30 countries of the Organization for Economic Cooperation and Development (OECD) in the years 1999-2010. Two independent OLS models are set up using corruption perception indicators as endogenous variables; one with purely economic determinants, and the other with added religious determinants of corruption. Expansion of the model gives out a more robust set of results with greater determination. The results show that increasing number of Protestants in a society correlates with lower levels of corruption. The effect of the government spending on education has been considerably reduced after involving the religious variables. However, corruption does not seem to be influenced by the percentage of Christians in total population.
|
|
A car prototype manufacture using modern methods and CAD/CAM
Horák, Aleš ; Zouhar, Jan (referee) ; Sedlák, Josef (advisor)
The project developed under the engineering studies, solves the problem of production of a prototype car using modern technology, reverse engineering and CAD / CAM. Based on the literary study of the issue, was designed process of digitization of the physical model of car, including the treatment and processing of data. Follow-up step was to verify the production of the additive rapid prototyping technology - FDM method. Verification of the results was performed on a vertical milling cantilever FV 25 CNC with control system Heidenhain iTNC 530 using a cutting strategies by PowerMILL CAM software. At the end of the resulting models edit as necessary.
|
|
Who is buying luxury Czech fashion?
Hříchová, Monika ; Špecián, Petr (advisor) ; Máslo, Lukáš (referee)
This bachelor thesis is looking for the determinants of buying luxury fashion by Czech designers. The main conclusions of worldwide studies are examined based on data provided by the designers. Customer information were provided by companies Veršatyl and One Life. Qualitative data from the Veršatyl brand are examined using descriptive statistics. Data resulting from the purchase statistics from the One Life brand are converted into numerical values and investigated using regression analysis. The most important determinants when buying luxury Czech fashion include the quality of the product and its manufacturing.
|
|
Physical Load Analysis In Woman's Beach Volleyball
Maciolková, Hana ; Vorálek, Rostislav (advisor) ; Buchtel, Jaroslav (referee)
Title: Physical Load Analysis In Woman's Beach Volleyball Objectives: The objective is to examine time characteristics, cardiac strain, movement pattern and the individua! volleyball skills in woman playing beach volleyball. The results will help aid athletes and coaches to improve individua} and team performance in the sport. Methods: Analyses of the thirteen game records were used to compile data for statistical time measurements, movement pattems and individua! volleyball skill. Through the use of sport testers, four individua} athletes in four separate toumaments had their heart rates recorded. These heart rates were further analyzed to collect the appropriate data for cardiac strain characteristics. Results: The average game time was 37 minutes with 5 - 9 seconds exercise loads and 15 seconds recovery time. Beach volleyball is high to middle level intensity game with mixed aerobic- anaerobic energy supply system in use. The average heart rate falls in the interval of 150 and 180. The jumping load is about 41 and more jumps counting serve jump, block and spike. The prevalent movement distance is within 4 meter range. The results also shows that the blocking player is under large physical stress while changing repeteadly position between defence on the net and in the field. Keywords: Beach...
|
|
Analysis of operation data for purposes of optimization
Slavíček, Martin ; Pavlas, Martin (referee) ; Touš, Michal (advisor)
This thesis deals with analysis of operation data for purposes of optimization. The thesis is divided into four chapters. First chapter focuses on present and future development in waste management legislation. It mainly deals with prevention, recycling and disposal of waste. Second chapter more closely describes waste-to-energy process. This chapter also describes the technology of municipal waste incinerator in Liberec, Termizo, a.s. Third chapter starts with description of tools used in design of the models based on operation data. Then the models for individual technological nodes are described. The last part is focused on building a complex model of Termizo using previous results.
|
|
Analysis of Economic Data Using Statistical Methods
Klímová, Lenka ; Antoš, Marek (referee) ; Michalíková, Eva (advisor)
The aim of this work is to analyze and evaluate selected economic indicators of the company, using timeline analysis, regressive and correlation analysis The teoretical part of the thesis focuses on timeline and also on economic issues of mainly ratio indicators and their interpratation.. The analysis is related to value prediction of selected economic indicators which I predicted for the next two years (2014 and 2015). Based on the detected values I proposed measures for successful future development of the company. I have processed the data using Gretl and Microsoft Excel programs.
|
|
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.
|
|
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.
|
|
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.
|
guest ::
