National Repository of Grey Literature 26,577 records found  1 - 10nextend  jump to record: Search took 0.77 seconds. 

Construction of Purpose - built Communications in the Context of Land Consolidations in the South Bohemian Region in Relation to Price Developments of Construction Work
PULTR, Michal
Building of field roads following the complex reparcelling follows from the plan of joint facilities and is proposed with respect to the given cadastre. In the Czech traffic rules, field road is mentioned as a kind of purpose-built communication. The Czech norm No. 73 6109 defines it as a of purpose-built communication, serving preliminarily to the farmers, but potentially having also other function. It can serve as a bicycle path, pedestrian path and mainly as a road for motor vehicles enabling the owners to reach fields in their possession and their rational use. Field roads and the surrounding vegetation contribute to the landscape scenery and its biodiversity, permanently and clearly determine the borders between fields and cadastres. In summary, they contribute to stability of the cadastre. My task was to evaluate the newly-built joint facilities, namely the road network, from the point of view of their costs for the state land offices, branches České Budějovice, Tábor and Český Krumlov. Therefore, I used the data offered to me by these offices. All these data are summarised in chapter 5: Results and Discussion. In the Summary, I put together all the new findings and the course of building prices during 2000 2011.

Analysis of the real estate market in Hradec Králové region
Vašata, Zdeněk ; Hartman, Ladislav (advisor) ; Trýznová, Jana (referee)
The aim of this thesis is analysis of real estate market with focus to small investor with interest in appartments in Hradec Králové region. The first part is theoretical, oriented to general information about real estate market and useful economical knowledge for investing into real estate. Practical part is focused to Hradec Králové region. The best localities are find out with financial and general (e.g. geographical, demografical and infrastructure aspects) research of the region. In these recommended areas are made model analysis and potentional evaluations for the purpose of small investor in this region.

Mobile application for clothing stores
Gronesová, Nikola ; Kubálková, Markéta (advisor) ; Topolová, Ivana (referee)
The aim of diploma thesis is to suggest a mobile application for clothing stores. At the same time it takes into account how consumers and businesses are influenced by digital technologies. The app´s name is Digital Closet and its purpose is to organize your closet. Thesis includes a description of a mobile application in general and the well-known operation systems. Then one of the operation systems was set as a basic requirement for suggested application. This thesis also in part analyzes mobile applications at fashion industry. In conclusion, two surveys were conducted. First survey aimed at consumer market and the second one at clothing stores.

Business plan
Husák, Lukáš ; Srpová, Jitka (advisor) ; Mísař, Jan (referee)
The purpose of this thesis is to demonstrate the creation of a company business plan focused on mediating temporary jobs through the use of mobile applications and websites. Furthermore the thesis articulates, how the business plan serves to assess the project´s feasibility and evaluate the return on investment. The theoretical part describes the characteristics of the business as well as the methods of creating a business plan. In the practical part these discoveries are applied to the formation of a business plan. The paper will give a brief introduction of the company followed by a description of the business opportunities, company goals, market potential, competition analysis, market strategy, implementation plan, constructing a financial plan, return on investment calculations, and establishing conditions for success. The conclusion is devoted to an overall assessment of the business plan.

Internal Migration in PRC: function, role and impact on Chinese economy
Čermáková, Zuzana ; Stuchlíková, Zuzana (advisor) ; Procházková Ilinitchi, Cristina (referee)
The purpose of this thesis is to analyze the process of internal migration in Peoples' Republic of China. It focuses on low-skilled rural migrant workers, their overall characteristics, role in the economy and their status within Chinese society. This analysis aims to prove that despite the fact that rural migrants represent an essential element of Chinese economy, and have contributed by a great deal to China's economic take-off, they are still a very discriminated group of Chinese society and are constantly facing violations of their rights.

Political marketing in the pre-election period
Baghdasarjan, Inesa ; Müller, Karel (advisor) ; Fleissner, Kamil (referee)
The purpose of this thesis is to analyze strategies of political marketing of the Czech Social Democratic Party and the political movement ANO 2011 in the Czech regional elections 2016. Furthermore, the work aims to analyze their media image in selected economic and political weeklies (Euro, Respect and Week). This thesis will attempt to answer the following questions through content analysis and qualitative interviews: What were the main differences in political strategies of those political parties? Were there some variations in interpretation of their media images in the selected magazines? The thesis is structured into four chapters. The first chapter defines the main terminology of political marketing. The second one is devoted to media-politics relations and to the Czech media. The third analytical part characterizes marketing strategies of the political parties. The last chapter interprets the results of content analysis.

Chytrá a udržitelná města v kontextu vědecké a inovační strategie EU
Horniecká, Marie ; Žamberský, Pavel (advisor) ; Procházková Ilinitchi, Cristina (referee)
The thesis explores how the EU support to research and innovation towards urban sustainability is designed, what the existing EU intiatives striving for achieving smart and sustainable cities are. The analysis of theoretical approaches forms the basis for developing the definition of smart and sustainable city for the purpose of this thesis. An overview of the principal EU strategic documents which address urban sustainability together with European networks is provided in order to demonstrate the linkage to the research Framework Programmes. A separate chapter is devoted to the analysis of the most pressing challenges European cities face nowadays. Database of EU funded research and innovation calls and projects is examined (E-CORDA). Calls and projects related to urban areas are identified and juxtaposed with the urban problems. Final recommendations concern with social aspects of sustainability which should be, in the author's opinion, addressed in future EU research Framework Programmes with a particular attention.

Pupils knowledges abou infectious diseases
Rančáková, Hana ; Drda Morávková, Alena (advisor) ; Erhart, Lukáš (referee)
A knowledge about infectious diseases and vaccination is very important in this time. The questionnaire, which is part of this thesis, is designated for 1st to 4th grade high school students and the upper grade grammar school pupils. The questionnaire was used to analyse pupils' knowledge and attitudes about infectious diseases and vaccination. Pupils' knowledge and attitudes are quite good and students are able to voice their opinion. Females have better knowledge than males and older students are better too. The thesis is further focusing on how are the infectious diseases included in the National Curriculum and examine the prevention programmes for schools. The other purpose is to follow up the threat of pandemic diseases and present state of knowledge and awareness about this topic.

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.