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Analysis of real and nominal convergence of the Visegrad Group in the years 2000-2015
Wikturna, Jan ; Strejček, Ivo (advisor) ; Zamrazilová, Eva (referee)
This Bachelor thesis is focused on a macroeconomic analysis of the process of the real and nominal convergence of the Visegrad Group countries to the old member states of the European Union, called EU-15 during the period of 2000-2015. The objective of the analysis is to confirm or disprove the hypothesis that in the selected period there is a convergence of the economically backward V4 countries with the advanced EU-15 countries and to highlight the factors that are behind the narrowing of the gap in economics and price levels. The theoretical part deals with the ways in which we measure and compare the economic performance and economic level, and explains the different approaches of the problem of economic growth and the subsequent catching up effect. The practical part is focused on a comparison of elected macroeconomic indicators and reference is made to the selected factors to determine whether, and for what reasons, the economic convergence of these selected countries made towards the developed countries of the EU-15. The analytical part confirms the ongoing process of the real and nominal convergence throughout the period, but its course is varied during different times of the period. In conclusion, it is found that the rate varied by the convergence processes and in fact positively affected the V4 countries, that joined the European Union. The incoming dynamics of the convergence, especially the prices, were significantly disrupted by the economic crisis.
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Development of POS system application with support of EET for retail trade
Nguyen Manh, Tho ; Pavlíčková, Jarmila (advisor) ; Bruckner, Tomáš (referee)
The goal of this thesis is to design and develop an application software for the POS system. The main criterion of the developed system is to support online registration of sales, which meets the requirements stated by the Act no. 112/2016 Coll., on Registration of Sales. In this thesis the POS system is designated to support processes of retail trade. The theoretical part focuses on the description of the POS system and its components. To solve the issue of online registration of sales, an analysis of the legislation and the market with the POS systems was made. The thesis also presents an analysis of the processes and requirements, a solution design and the implementation of applications based on Java. To test the functionality of the developed application a test case was used. The final chapter summarizes the content of the thesis and outlines possible future developments. The output of this paper is a functional POS application, which will be available for download under open-source license. This paper could also serve as a business guide to understand the topic of POS systems and online registration of sales.
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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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The evaluation of the process of recruitment, selection and hiring employees
Siřínková, Nela ; Dvořáková, Zuzana (advisor) ; Vávra, Radovan (referee)
The thesis is focused on the process of recruitment, selection and hiring employees in to the company. The main goal of the thesis is to analyse and evaluate the process of recruitment, selection and hiring employees in selected company and determine conclusions and recommendations which can improve the whole process. The thesis is devided into theoretical and practical part. The theoretical part includes the description of the theoretical bases and background of the topic. The practical part focuses on the selected company, the presentation of its structure, business field and the current processes. The aim is to analyse the process of recruitment, selection and hiring employees, evaluate this processes and suggest particular recommendations.
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Usage of the IONIC framework for development cross-platform mobile application
Gruda, Pavel ; Buchalcevová, Alena (advisor) ; Zapadlo, Jaroslav (referee)
The aim of the thesis is to analyse framework IONIC and determine the suitability of this framework for cross-platform mobile development. The intent of the theoretical part is to analyse the current market, introduction to the mobile development and a description of the framework IONIC and related technologies. The practical part deals with the analysis and design mobile application PowerFLOW, describing the implemented mobile application and sample code. The last part is about framework IONIC evaluation based on set criteria. The evaluation rating was determined on the experience gained during the implementation of mobile application PowerFLOW. There are also listed personal experience of the implementation. Based on this thesis the IONIC can be recommended as the framework for cross-platform mobile development.
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Comparison of accounting programs from the point of view of the use of information for management companies
Loušová, Petra ; Stejskalová, Irena (advisor) ; Pevná, Jana (referee)
The aim of the thesis is to compare accounting programs from the point of view of the use of information that are important for management companies. The theoretical part deals with the general approach to processing business information in the accounting. Next there is explained an overview of what information in the field of accounting are important and necessary for the job of financial manager. The practical part contains an analysis of at least three accounting programs, with the main focus on what information from the selected accounting program managers need in their work and what information is actually gaining from the program. In practical part, there are also compared results of individual organizations; information is gathered through in-depth interview with financial managers selected companies.
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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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