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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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The Value of CSR for Czech Consumers
Faradji, Elise ; Štěrbová, Ludmila (advisor) ; Seror, Patricia (referee)
Nowadays consumers purchasing behavior is influenced by new factors such as the social and environmental implication of companies. This is why Corporate Social Responsibility (CSR) is a growing trend which companies need to look after carefully. However implementing an efficient CSR strategy is a complex process for corporations; especially since the core concept of CSR remain quite blurry. The goal of this study is to analyze the perception of consumers towards CSR to find out about the value creation that CSR produce for consumers and its impact on their purchasing behavior. This paper will ultimately help companies to implement their CSR strategy more efficiently. This study aims to contribute by conducting an in-depth analysis of consumers attitudes and behavior towards CSR. If most of researchers are using a quantitative approach this study means to deal with the issue with a qualitative perspective. Indeed twelve semi-structured interviews will support the findings. On top of those practical and physical interviews some theoretical knowledge will be added to the construction of the argument especially to bring a framework that shows the importance of all types of value creation (functional emotional and social). The findings of the thesis emphasize the facts already proven by other researchers; value creation is fundamental to make consumers care about CSR. However the study will show how much skepticism towards CSR can impact negatively consumers purchasing behavior. The research will help companies implementing more successful CSR strategy and develop new solutions to reach customers and influence their purchasing behavior through the creation of value for them.
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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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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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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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Integration of Apple Mac computers into corporate environment
Světlík, Martin ; Bruckner, Tomáš (advisor) ; Rathouský, Tomáš (referee)
Corporate informatics has undergone a number of changes in past few years. Used devices are becoming more independent from the OS, they rely more on provided services and the level of security. Cloud technologies are increasingly growing in significance and a large number of companies offer their employees BYOD (Bring Your Own Device). This thesis focuses on integration of Apple Mac computers into corporate environments, based on analysis of contemporary approaches and possibilities of dealing with integration. An important part of this thesis is research of chosen implemented solutions in the Czech republic. From both parts of this thesis it then offers recommendations, which are based on practical experience of companies that widely use and deal with integration of Mac computers.
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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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Usage of unstructured data in Business Intelligence
Rakhmanova, Malika ; Šperková, Lucie (advisor) ; Karkošková, Soňa (referee)
The aim of the thesis is to identify the main trends that are occurring in the market of Business Intelligence and related to unstructured data, to describe the possibilities for integrating unstructured data, to clarify what the impact on the company have the results that can be obtained using these solutions and how generally incorporate an analysis of unstructured data into BI. Another aim is to show the current situation of processing unstructured data on the example of BI system. The thesis is divided into several parts. First part is describing of the Business Intelligence area and the basic components of Business Intelligence, as well as identifying market trends. Then, there is the next part: separating the data into structured and unstructured. Here is the part about how you can access and analyse unstructured data and what is their place in BI systems. This is the end of a block of unstructured data and the beginning of a description of the enhanced version of BI. Finally, the current market situation and BI tools, which include unstructured data, are introduced. This section provides an overview of how BI tools approach to analyse unstructured data. Existed literature, professional and freely available Internet resources are used for writing the work. The purpose is to serve as a source of information for quickly orienting in the current situation, to serve as a guide to the world of BI solutions and to show potential users what are the options and functionality of these BI solutions.
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