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New Deal
Mikšová, Lucie ; Ševčík, Miroslav (advisor) ; Lipka, David (referee)
Tato práce se zabývá programem New Deal. Touto prací se snažím odpovědět na otázku, pomohl New Deal občanům USA? New Deal se skládá ze dvou částí. První New Deal byl zahájen v roce 1933 a jeho hlavním cílem bylo zvýšení cenové hladiny. Druhý New Deal začal v roce 1935 a jeho hlavním cílem bylo zlepšení finanční situace obyvatelstva. Obě části tyto cíle splnily, ale pouze ten druhý New Deal výrazně zlepšil stav hospodářství. Co se týče odpovědi na mnou položenou otázku, nedá se jednoznačně říci, zda tento program byl pro občany prospěšný či ne. Jsou tu totiž skupiny, kterým tento program pomohl. Pak jsou zde skupiny, kterým naopak pohoršil. A nakonec jsou tu skupiny, u kterých nemůžeme jednoznačně říci, že jim New Deal prospěl či jim pohoršil. Proto se mi na moji otázku nepodařilo obecně odpovědět.
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Analysis of the EU regulations in the field of Information and Telecommunication technologies and their effect on the single market
Hart, Ludvík ; Procházka, Pavel (advisor) ; Strejček, Ivo (referee)
The bachelor thesis describes the EU regulations in the field of information and communication technologies (ICT), particularly the Digital agenda for Europe strategy. These regulations are then tested for their influence on the European single market. The major question answered here is whether the EU regulations in field of ICT have a positive impact on the EUs single market. Answer to this question helps us evaluate the ongoing Digital agenda strategy. The impact of the regulations is analysed by induction of the following indicators, international trade, ratio of population buying online, DESI index and NRI index. With this method it is possible to tackle the wide range of fields the Digital agenda covers. I conclude this work with the statement, that European ICT regulations do have a positive impact on the single market, although are problematic due to the slow legislative process and low efficiency in addressing the regulated issue.
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The Effects of the New Deal on the social status of Afro-Americans in selected sectors of the US economy
Schwammenhöfer, Tomáš ; Tajovský, Ladislav (advisor) ; Johnson, Zdenka (referee)
This bachelor thesis deals with the effects of the New Deal legislation on Afro-Americans in the 1930s. Specifically, the thesis analytically focuses on the influence of various politician of this program on their social environment within the US economy. For the ease of understanding of whole issue is needed to know the situation of Afro-Americans in the previous decade as well as in the Great Depression. That is the content of the first two chapters. Subsequently there is the outline of the situation leading to the election of F. D. Roosevelt, US President. The last and as well the most important chapter of the whole thesis is devoted to analysis of individual programs and their impact on Afro-Americans. It concludes that the New Deal had both positive and negative influence on this minority, depending on the economic sector and the relevant administration. New Deal generally meant a huge progress in their economic and political affairs.
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Business plan. Business in the area of cultivation and processing of lavender.
Třešňáková, Karin ; Zadražilová, Dana (advisor) ; Zadražil, Václav (referee)
This thesis is focused on the business plan in the cultivation and processing of lavender. The aim is to determine whether the plan can be implemented profitably. In the first part, I deal with the formal requirements of business plan, its simplified form LEAN CANVAS, SMART method for determining targets. Another chapter is a marketing strategy and marketing mix. Following the financial plan, which is divided into an optimistic and a pessimistic variant. The second part describes the history of growing lavender, its healing powers and possibilities of use. The third part, its own business plan.
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On possible approaches to detecting robotic activity of botnets
Prajer, Richard ; Palovský, Radomír (advisor) ; Pavlíček, Luboš (referee)
This thesis explores possible approaches to detecting robotic activity of botnets on network. Initially, the detection based on full packet analysis in consideration of DNS, HTTP and IRC communication, is described. However, this detection is found inapplicable for technical and ethical reasons. Then it focuses on the analysis based on network flow metadata, compiling them to be processable in machine learning. It creates detection models using different machine learning methods, to compare them with each other. Bayes net method is found to be acceptable for detecting robotic activity of botnets. The Bayesian model is only able to identify the botnet that already executes the commands sent by its C&C server. "Sleeping" botnets are not reliably detectable by this model.
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Řízení IS/ICT se zaměřením na sourcing služeb informačního systému
Šebesta, Michal ; Voříšek, Jiří (advisor) ; Havlíček, Zdeněk (referee) ; Příklenk, Oldřich (referee) ; Král, Jaroslav (referee)
Research on outsourcing has been around for several decades, while recent evolution in the information systems discipline towards ICT service commoditization significantly changes the context of decision-making. Services that are available on-demand via the Internet allow organizations implementing functions they demand in a fraction of time. This trend represents a chance for organizations seeking to use advanced ICT services without a need of major investments. Problem is the current lack of guidelines and tools for managing ICT services and their outsourcing. Given the trends on the ICT service market, it is expected that much of the IT management in the future will encompass the ICT services and utilize service-level structures. Methods currently available are either too broad or encompass only small part of the whole problem. Ad-hoc or unsound decisions in this area might cause major complications in terms of quality, usability, integration, and consequently influence total cost of organizational IT. Organizations need to either revise existing models or propose and implement completely new models to manage their IS/ICT. This thesis deals with the management of IS/ICT with focus on the ICT services outsourcing. It discusses available sourcing models in the literature and links them to the various interconnected areas. Based on these areas, it presents an integrated view on IT outsourcing strategies. Most importantly the thesis proposes an original concept for decision-making about outsourcing of ICT services named the SOURCER framework. This approach utilizes the presented outsourcing strategies, and introduces a complex methodology and decision-making criteria that will assist organizations with selection of ICT services in order to maintain and manage a most suitable ICT service portfolio. The decision-making is based on four essential viewpoints: function, costs, time, and quality. These viewpoints are discussed, individually analyzed, and serve as a basis for further research. The whole framework is developed and validated according to Design Science Research Methodology (DSRM). Individual components are evaluated using a survey among a group of selected IT managers. Proof of concept is then established by a case study on framework use in a real organization. This case study covers strategy specification, business--IT alignment, specifying service architecture and its interconnections, outsourcing, and management of the ICT service portfolio.
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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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The role of nurse in the care of child patient with hemangiom.
ŠESTÁKOVÁ, Růžena
One of the most important areas of society-wide tasks influencing the health of the whole population is child care. It includes care of children with a hemangioma. Hemangiomas are the most common benign (not malignant) vascular tumours of a child age. This benign tumour may be present as early as at birth or appear in the first weeks of life. It is usually located on or under the skin surface but may also affect internal organs. Although a hemangioma may affect any body part, it is mostly located on the head and neck. A hemangioma is diagnosed in a tenth of new-born children. Hemangiomas typically appear at neonatal age or infancy. The objectives of the diploma thesis "Nurse's Roles in Care of a Child Patient with a Hemangioma" are to examine the roles of nurses in care of a child patient with a hemangioma, as seen by parents (mothers) of the children, and to identify which of the roles is the most important for the parents (mothers). It has also been ascertained whether nurses deal with any problems while providing this care and whether occurrence of a hemangioma in a child has any influence on the child's family. It has also been ascertained whether any complications are encountered in the treatment of children with a hemangioma. A qualitative research was used for data processing. Several methods of data collection were used. The researcher used a case history according to the model of Virginia Henderson, semi-structured interview with mothers of patients, data content analysis and secret participant observation during outpatient checks. The last method used was a survey aimed at nurses who took care of children with a hemangioma, asking them whether they dealt with any problems and complications in such children. The first research set consisted of ten child patients who were selected on purpose on the basis of pre-set criteria. The first criterion was presence of a hemangioma; five patients were hospitalised with a hemangioma and underwent a treatment with propranolol, while the other five patients with a hemangioma underwent only a conservative treatment. Last but the most important criterion was that mothers of patients with a hemangioma granted their consent to the research. These mothers formed the second research set and underwent a semi-structured interview focused on their personal experience with a hemangioma and on the work of nurses as seen by mothers. The last research set consisted of ten nurses who were also selected on purpose on the basis of a very important criterion, which was care of child patients with a hemangioma. This thesis may be of a benefit not only for professionals who are in contact with children with a hemangioma but may also serve to deepen general knowledge of other healthcare professionals who may encounter this disease either in their professional or private life. Based on the information acquired for the diploma thesis, was prepared for nurses and will be presented at professional workshops.
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