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Analysis of Book Publisher's Marketing Tools
Gruberová, Laura ; Pešek, Ondřej (advisor) ; Hanzlík, Jan (referee)
This Master's thesis entitled Analysis of Book Publisher's Marketing Tools focuses on the Czech book market and marketing tools that are currently used by book publishers. The aim of the work is to evaluate marketing tools of the specific Czech book publisher based on qualitative research and suggest possible improvements in their use. The theoretical part contains definitions of basic concepts in the field of book publishing and book marketing, which serves as the basis for the practical part. The practical part deals with the analysis of marketing tools of book publisher Argo, presents pros and cons of these instruments and in the end, brings suggestions for their improvement. This part of the thesis is based on marketing situation analysis, on analysis of available data on publisher's activities and on an interview with one of its writers. This thesis is primarily valuable for book publishers and sellers, who can obtain information about possible marketing tools. For book readers, this thesis is particularly interesting in terms of obtaining information about how marketing tools can help them in the selection of books.
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Consumer Credit in the Czech Republic from the Client’s Perspective
Huleš, Matěj ; Hejda, Jan (advisor) ; Kaczor, Pavel (referee)
The aim of the thesis titled Consumer Credit in the Czech Republic from the Client´s Perspective is the analysis of the offer of consumer credit loans in the Czech market and an explanation of the basic problems of consumer credit. The first part explains basic information and theoretical concepts related to the issue. In the second part of the thesis, these concepts are put into practice and two model examples are used to explain the procedure for selecting a credit product that will meet the consumer´s needs. The section deals with the comparison of these products. Credit loans are subjected to the comparison in terms of total costs and sub-parameters of the loans, which affect the costs. Following the results of the comparison, the conclusion contains practical recommendations for consumers. The thesis results in a comprehensive educational text that will help anyone interested in consumer financial products to make their choice.
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Development of interest rates in the mortgage market in the Czech Republic between 2006-2016
Ditrichová, Gabriela ; Strejček, Ivo (advisor) ; Klement, Josef (referee)
This bachelor's thesis is focused on the development of interest rates in the mortgage market in the Czech Republic in the decade between 2006 and 2016. A strong economic growth between 2006 and 2007, which had positive effects in the mortgage loan market, was followed by a deep slump in the form of global financial crisis unleashed by speculations in the real estate market in the U.S. The main aim of the work is based on the development of mortgage interest rates and the significant factors that affect their amount - to verify or disprove the hypothesis that interest rates respond to changes of these factors. The results confirm the hypothesis only in certain areas. The influence of changes of interest rates has been proven in the case of inflation and discount rates by usage of the econometric model. Factors that have not shown a significant direct influence of interest rates may have an indirect influence on their change.
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Products with Protected Designations of the European Union and Their Position in Regional Tourism
Licková, Kamila ; Kalábová, Markéta (advisor) ; Abrhám, Josef (referee)
The master thesis deals with products with protected designations of the European Union. The main objective of the master thesis is to evaluate the importance of the chosen product with protected designation of the EU in regional tourism and analyse the perception of the product by a producer and by tourists. The sub-objective is the description of the European system of food labelling. The thesis is divided into five main chapters. The first part explains basic concepts which are related to the thesis. The second chapter introduces the best known food quality labels. Greater attention is devoted to the description of the food protection system of the EU. The third chapter deals with the characteristics of the chosen region Beskydy-Wallachia. The second part of this chapter is focused on the chosen protected product Štramberské uši. The forth chapter includes a structured interview with the chosen producer of Štramberské uši and a survey research, which was conducted in two phases. The last chapter contains the evaluation of the implemented survey. The main finding of this thesis is the fact that a relatively high percentage of respondents know the product Štramberské uši. An interesting finding is the fact that only a small portion of them know that the product Štramberské uši is the holder of the protected designation of the European Union. The chosen producer of Štramberské uši sees the main benefit of the label in greater publicity. Among problems he ranks the enforceability of the label and lack of general promotion of Štramberské uši.
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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 capacity of the European Union to form a common foreign policy: The approach towards Russia during the crisis in Ukraine
Grycová, Adéla ; Rolenc, Jan Martin (advisor) ; Cibulková, Petra (referee)
The thesis deals with the issues of framing and europeanization of the foreign policy of the European Union in the context of an actorness of the EU. These two theoretical concepts are applied on the case of an approach of the Czech Republic and European Union towards Russian Federation during the crisis in Ukraine. The aim of this thesis is to find out if the European Union is capabble of affecting the behaviour of a member state in order to create unified and operational foreign policy. The first chapter deals with teoretical definition of the two concepts and detailed description of the stances of Czech Republic and European Union follows in the second one. On the basis of these chapters the assessment is conducted. The last part firstly concludes if any attempt of influecing is present and secondly the success rate of the attempt is evaluated.
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Application of Monte Carlo simulations in banking
Boruta, Matěj ; Teplý, Petr (advisor) ; Fučík, Vojtěch (referee)
Currently, banking is exposed to huge market risks. One of those risks is occurrence of negative interest rates in the EU. Nowadays, it is important to use sophisticated and modern measurement tools and approaches to measure and manage banking risks. One of those methods is Monte Carlo simulation. This bachelor thesis is aimed at analysis and prediction of 3-month maturity Prague Interest Offer Rate (PRIBOR) for 3, 6 and 12 months with using Monte Carlo simulations. It was found that this method is suitable for prediction market variables with low volatility. If anybody uses this method, it is necessity to have in mind all pitfalls and assumptions, that this method includes, as an adequate random generated number of scenarios, approximation of correct probability distribution, independence of dataset and not least, as far as possible, to focus on factors generating randomness of market variable and not the prices, that express rather consequences of randomness than its cause. Further, the Monte Carlo prediction was compared with prognosis of the Czech Nation Bank and it was found that Monte Carlo prediction is more accurate for short term predictions. 12-month prediction of Monte Carlo simulation discovered also possible occurrence of negative interest rate at 0,05% level of probability in compare to the Czech National Bank prognosis, where was no negative interest rate predicted.
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Developing open approach to mathematics in future primary school teachers
Samková, L. ; Tichá, Marie
In our contribution we focus on the possibility to develop open approach to mathematics in future primary school teachers during a university course on mathematics conducted in inquiry-based manner. We analyse data obtained in the beginning and in the end of the course with respect to two main aspects related to open approach to mathematics: searching for all solutions of a task, and acceptance of different forms of notation of a given solution. Data analysis revealed in the participants three different shifts towards open approach to mathematics, and showed that after the active participation in the course each of the participants improved at least in one of the monitored aspects, and that none of the participants got worse in any of the aspects.
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