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Makroekonomický dopad mateřské (a rodičovské) dovolené ve srovnání České Republiky s Brazílií
Kalkusová, Marie ; De Castro, Tereza (advisor) ; Neumann, Pavel (referee)
This thesis aims to estimate the macroeconomic impact of maternity and parental/paternal leave in the Czech Republic and Brazil. In addition, the thesis stresses out the costs of Czech model application to Brazil and vice-versa. The first chapter brings a theoretical framework. It compares the analyzed policies in both countries and introduces the relevant terms. The second chapter estimates the costs of maternity and parental/paternal leave related to public expenditure and GDP for the years 2005-2014 and brings own simulation model for Czech model application to Brazil and vice-versa. The third chapter analyses the inefficiencies and suggest possible mitigation. The results show the costs of 0.71% of GDP and 1.66% of public expenditure in the Czech Republic and 0.50% GDP and 2.27% of public expenditure in Brazil in 2014. The Czech model applied in Brazil would be very costly and the opposite scenario would lead to the decrease of macroeconomic burden in the Czech Republic. The thesis also analyzes the influence of maternal and parental leave in other areas, such as labor market, where the current structure may penalize Czech women in long term. By this analysis, the thesis contributes to the current debate about the impact, the length and costs of maternity and parental leave.
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Employer branding in Building Industry
Hralová, Lenka ; Bušina, Filip (advisor) ; Havlíček, Karel (referee)
The Master's Thesis is focused on a modern trend in human resource management, employer branding, analysed as a general image of a company as employer, its working conditions and a preference of this company as a stable employer. The main goal is to review the range and relevance of employer branding within Czech building industry based on existing company and comparison with its competition. The first part describes theoretical definitions of employer branding and its instruments. The second part presents the empirical research done in Metrostav a.s., comparison with its competition and a questionnaire between civil engineering students and construction apprentices that was focused on their expectations of future employment in the building industry. In the end of the thesis the research is evaluated and the improvements that would lead to empowerment of employer brand are suggested.
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Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.
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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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Aspects of the virtualization of higher education and its comparison in the CZ and US
Dlauhá, Dominika ; Šedivá, Zuzana (advisor) ; Pour, Jan (referee)
The topic of this thesis is the evolution of online higher education in the CZ and US, from its beginnings to its current state. Emphasis is placed on describing MOOCs and virtualization in education, ranging from technological, pedagogical and didactic aspects to legislature and finance. A survey was conducted to determine the interest in online courses at the University of Economics, Prague and experience with online learning, resulting in an outline of the future development in this area.
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Comparison of Business Intelligence implementation using open source solutions for middle size companies
Schmidt, Róbert ; Maryška, Miloš (advisor) ; Sládek, Pavel (referee)
The main goal of master thesis is to analyze and propose possible low cost Business Intelligence solution with open source technologies and comparison of available tools for implementation in middle size company. We compare Pentaho and Jaspersoft tools implemented on local hardware and cloud environment with Microsoft Azure services. The theoretical part focuses mainly on understanding the business intelligence and its architecture, because architecture is an important part of the work. Actual tools are designed as stand alone modules for specific activities in the business intelligence lifecycle. Low cost tools are often connected with open source technologies and cloud computing. This part of the work contains explanation of these terms and their advantages and disadvantages for our chosen target group of companies. The analytical part includes defined parameters by which it is conducted analysis of tools and their comparison. Business Intelligence solutions are divided according to arcitectural layers. The evaluation criteria are divided into financial, technical and user category. In conclusion, chosen tools are compared and evaluated. The main contribution of this thesis is comparison of open source business intelligence tools for implementation in middle size company. According to the EU directive, middle size company does not exceed 250 employees or profit is less than 50 million euros. The reader can compare the different solutions and their pitfalls or shortcomings that could be critical for the implementation.
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Design of the pilot Business Intelligence solution for e-commerce platform
Kabrhelová, Kateřina ; Novotný, Ota (advisor) ; Vysoký, Ondřej (referee)
This thesis deals with the design of the pilot Business Intelligence solution for e-commerce platform Shopio. The first part describes the theoretical concepts of Business Intelligence and e-commerce focused on possible approaches to performance measurement of electronic commerce. Furthermore there is a comparison of analytical tools for measuring performance of e-shops which are available on the Czech market. The second part of the thesis first describes the e-commerce platform and the current status of the reporting module. Then the requirement analysis is conducted for the purpose of identifying the current company client's needs and requirements. The new Business Intelligence solution is designed based on the identified requirements described in the previous chapters. This solution is then tested and verified with the use of real e-shop data. The main purpose of this thesis is to refine the current status of the reports and provide a better tool to measure the e-shop performance for the e-shop owners.
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Profile and reflections of dance department of the Juilliard school
Červinka, Marek ; JANEČEK, Václav (advisor) ; KŘENKOVÁ, Mahulena (referee)
This bachelor thesis, called Profile and Reflection of Juilliard School’s Dance Division, first of all briefly touches the key events in history of both classical and modern dance in the first half of the twentieth century and then approaches the history of The Bennington School of the Dance which is considered to be the Juilliard’s predecessor. After a general historical overview, descriptions of the educational goals and study programs, is the rest of the work focussing on Juilliard’s Dance Division in detail. Its past accomplishments, famous teachers, study programs and the admission procedures are discussed. All these information, including the interviews with Jarek Cemerek, a Czech choreographer and dance teacher, and with Brennan Clost, a current student of the fourth year at The Juilliard School, were used as a final reflection of Juilliard’s Dance Division. The comparison of Czech dance schools with The Juilliard School is comprised in this section.
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Hybrid mobile applications
Novák, Jiří ; Benda, Petr (advisor)
My bachelor thesis deals with the problematics of hybrid programming of mobile applications. The thesis consists mostly of analysis of pros and cons of the hybrid developement in comparsion with other methods such as native app developement or web applications made to fit the same demands.
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