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Irrationality in the decision- making of an individual as an economic entity in the territory of the Czech Republic
Böhm, Tomáš ; Zeman, Martin (advisor) ; Babin, Jan (referee)
The main objective of this thesis is an in-depth analysis of the decision-making process on issues of economic nature for individuals in the Czech Republic. The degree of rationality occurring in consumer behavior is evaluated based on lessons learned. The theoretical section is concerned with the economic aspect of the decision-making process, which mainly includes knowledge of neoclassical theory, whose basis is the cardinal and ordinal concept of utility maximization. Subsequently there are introduced the alternative approaches to decision making, focusing on the subjective aspects of human reasoning. Using the mutual synthesis of these approaches, the author draws a term behavioral economics, specific elements of which constitute a substantive content of the whole work. The practical section verifies the hypothesis that the decision-making contradicts the theory of rational individual conduct. Data collected through the questionnaire is subjected to analytical procedures by which the stated hypothesis was verified.
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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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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.
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Analysis and design of intranet structure
Novák, Miroslav ; Pour, Jan (advisor) ; Šedivá, Zuzana (referee)
Nowadays, Intranet is an inseparable part of every company, notwithstanding of their size or field of activity. Both, in my work and personal life, I often come across different intranets that usually do not get a positive response. But they usually have the same source of the problem, which is based on their wrong structure. This is why is chose this topic for my thesis. The goal of my thesis is to perform an analysis of an existing intranet of a particular company and subsequently create a design of the intranet new structure using the card-sorting method. This thesis primarily represents a generalized method of how to proceed during such realization and which areas to look into. Theoretical part of this thesis covers the topics of information architecture and also the term intranet itself, where the most frequent issues I came across in the intranets are pointed out. Practical part covers the analysis itself, where I focus on the structure of the existing intranet, categorization of its content, connections with other systems, customization, permission management, surveys of contentment, and intranet usage. The analysis is performed manually by scanning through the existing intranet of the company, since other methods or approaches could not be applied due to technical limitations or insufficient permis-sions. Based on the outputs of the analysis, web categorizations and the card-sorting method, a design of a structure of the new intranet has been proposed. The design itself is a demonstration of the method how to approach the new intranet design.
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Serverless single page application in JavaScript
Zikmund, Marian ; Pecinovský, Rudolf (advisor) ; Suchan, Vladimír (referee)
The goal of this thesis is to design and develop a framework for building modern single- page application in the JavaScript programming language and describe this approach to development. The work also contains the documentation for a more comfortable use and customization. The content is divided into eight chapters. The introduction is followed by the retrieval of information resources, including the specifics of the JavaScript programming language and explanation of the formation of single-page application. The description of the basic principles of their functioning, motivation and justification, when and why this approach is appropriate is also included. The work is primarily focused on the issue of single-page application, for which the use of the JavaScript programming language is crucial. For this reason, this work provides a whole chapter about this programming language, also including a description of its history and role in the context of others. Below are the common characteristics of single-page applications frameworks, built on top of the library ReactJS, whose formation is engaged in the following chapter. The developed framework also contains the user guide. The practical outcome of this work is an open source framework for creating serverless single-page applications, which is due to its architecture and documentation appropriately adaptable.
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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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The theory of redistribution and its application
Mihalčinová, Hana ; Dlouhý, Martin (advisor) ; Valenčík, Radim (referee) ; Peško, Štefan (referee)
The theory of redistribution systems is a practical extension of a game theory, which deals with a redistribution within a social system of more than two players with di?erent performances and ability to create coalitions. This thesis is divided into three chapters. The ?rst chapter describes the known knowledge of a game theory. The second chapter deals with the theory of redistribution systems. Using an elementary redistribution system and its generalization group behaviour when dividing a payment, achieved by a collective performance, is described. This part introduces the extension of the redistribution system to a compound redistribution system with a fractal structure. Furthermore the theory of discriminatory equilibrium and the theory of commonly acceptable equilibrium are veri?ed using the elementary redistribution system and utility theory. The third chapter deals with an application to the allocation of funds among faculty departments. A game theory approach was used to reduce the game to a non-cooperative game of two players by using the forming of coalitions. Also the theory of redistribution systems was applied when a reduction was used to create a non-cooperative two-player game. This reduced non-cooperative game between two players was converted to a cooperative play of more than two players by changing the rules of the game and allowing a formation of coalitions. In the practical part both of these approaches are compared with real data and a current state.
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Multimedia communication
Vondra, Zdeněk ; Horný, Stanislav (advisor) ; Skrbek, Jan (referee) ; Jurášková, Olga (referee)
Multimedia is a form of communication and sharing knowledge using synergic effect of parallel connected communication channels. Its main use is in producing communications products and services and in design of user interfaces. Main objective of this dissertation is to develop and create a model of multimedia communication for better understanding of the meaning and the purpose of using multimedia forms in communication process. The model will describe a system of elements and parameters of multimedia communication within the internal and external context. Another objective of this dissertation is to develop multimedia communication methodology that will be used for the design, development and evaluations of concepts of multimedia communication. The methodology will be created by applying the model of multimedia communication into the procedure structure. In theoretical way this dissertation is based on analysis of different definitions and approaches to the multimedia communications topic. This is followed by an analysis of communication theories, concepts of media, multimedia, delivery channels, and communication functions. The theoretical part is followed by the outcomes of the research in practice of four different fields of multimedia use. The knowledge gained is analyzed in the following parts in purpose of creating the model of multimedia communication and the methodology which is derived from the model. The methodology is further validated through case studies and the recommendations for further development are formulated. The model and the methodology of multimedia communication created in this dissertation present complex view on multimedia communication topic that is considered as a useful tool for meeting a specific communication purpose. Dissertation provides mechanics for use and study of multimedia communication and also defines the opportunities for further development of the methodology.
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