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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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Economy of Chile in 1960s and 1970s with Accent on Market Reforms after 1973
Strejčková, Klára ; Pekárek, Štěpán (advisor) ; Ševčík, Miroslav (referee)
This bachelor thesis puts the stress on the analysis of economic reforms approved in Chile in the 60's and 70's years of the 20th century. The focus of this work is profoundly dedicated to the analysis of two important macroeconomic indicators: developments of inflation and trade exports, bearing in mind the context of the coup in 1973 which is seen as a direct consequence of the communist rule of the Salvador Allende's Cabinet (1970-1973). The Allende's Cabinet strove to transform the Chilean economic society into a socialist one. The bachelor thesis has validated a hypothesis stating that the pro-market reforms approved after 1973 led to diversification of the Chilean export as well as a gradual and progressive stabilization of the country's inflation that had reached as 350 % during the socialist Allende's government. This work brings a comparison of two very different economic doctrines that formed Chile in the 70's of the last century. There is being compared a socialist government approach, having focused on nationalizing of the private sector, to the liberal government's approach aimed at decreasing the public sector, privatization as well as tearing down international trade barriers.
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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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Strategic Trade Policy in Defence and Security Industry
Neumannová, Pavla ; Žamberský, Pavel (advisor) ; Jiránková, Martina (referee)
The master thesis is devoted to a nontraditional, however, in the todays world to a very current topic, arms industry and its support. The thesis connects the theoretical concept of the strategic trade policy (defined by P. Krugman or J. Brander) to its practical interpretation and application in the defence and security industry. The first chapter explains the strategic trade policy using the Brander Spencer analysis. The topic of the second chapter is strategic industries and this chapter answers the question whether the defence and security industry is a strategic industry or not. The third chapter analyses the possibilities of the support of DSI and compares approaches of different EU member states. The last chapter is devoted to the solution of this problem. The main contribution of this thesis is a new interpretation of the strategic trade policy, analysis of the importance of the defence and security industry and its support and suggestion of practical measures for Czech companies and for the Czech Ministry of Defence.
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Private equity fund greenhouse business plan focusing on the financials
Bartoš, Jan ; Krause, Josef (advisor) ; Machek, Ondřej (referee)
The thesis analyses and discusses the creation of a business plan inside a private equity fund. The business plan deals with the development and management of a fully illuminated and heated greenhouse and focuses mostly on the financial part, due to reasons explained in the thesis. In the theoretical section, the author discusses the developments in the entrepreneurship and private equity field and follows by describing the important terms concerning a business plan, its structure and the approach to its creation. The practical section deals with the circumstances in which this business opportunity is considered and covers the business plan itself, specifically the market analysis, marketing approach, operational side and financials in detail. The aim of this exercise is to validate the market expectations and economic rentability of the whole project. To this end the author utilizes several standardized criterions for investment assessment.
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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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Assessment of safety culture in selected hospitals in the Ústí nad Labem and Liberec regions
VOLENÍKOVÁ, Kateřina
Current status: The issue of medical errors has recently gotten considerable attention among organizations at the global and national levels. In its report the Institute of Medicine recommended the development of a safety culture where employees want to provide the safest health care. Assessing the current culture of safety is the first stage in the development of patient safety. Subject: The main purpose of the research was "to evaluate the safety culture in select hospitals." Method: A standardized method was chosen for the research: The AHRQ Hospital Survey on Patient Safety Culture. A quantitative method was implemented using polling. Obtained data were tested in SPSS version 16.0. For statistical testing Person's chi-square and sign scheme was elected. Research group: The research survey addressed 301 non-medical staff of Krajské zdravotní a.s. Masarykova nemocnice, o. z. (Regional Health a.s. Masaryk Hospital) in Ústí nad Labem and Krajské nemocnici Liberec, a.s. (Liberec Regional Hospital) Results: The survey results showed that the surveyed health care professionals assess the organizational culture as friendly. The respondents indicated that they are praised by the manager for conducting their work safely and that they can suggest changes in management practices. The results showed that addressed health care professionals support each other (58.1%) and cooperate better (72.4%). According to the respondents, better teamwork leads to better patient safety. An analysis of the results shows that health professionals have an active approach to safe care (82.7%) and in their opinion, errors and mistakes lead to improved patient safety (40.9%). Paramedics have confirmed that they receive feedback on reported incidents (37.9%). Based on team discussion about errors the respondents' evaluation of patient safety has significantly improved. An analysis of respondents' answers revealed a lack of reporting of adverse events. Most respondents consider the number of staff in the workplace deficient (42.5%). Conclusion: Hospital management should be involved in changing the detection of individual errors from individual to systemic. In order to improve the safety culture there should be regular supervision or teambuilding activities that support the development of teamwork. Feedback on the results of reporting errors must be given in an appropriate way to motivate staff to continue to report future errors. The results require a change in how medical staff report errors and greater consistency among management when checking reports. Complaints of work overload by medical personnel must be taken seriously. Improvements can be brought about by changes to work organization or the use of temporary workers.
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