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Czech - Slovakia: development of each country after the split of Czechoslovakia
Pelikánová, Radka ; Löster, Tomáš (advisor) ; Bílková, Diana (referee)
International comparison is very popular area of statistics, which is used to examine differences in many fields of science. This thesis seeks to apply the concepts of International comparison to the Czech Republic and the Slovak Republic. Though it has been 20 years since Czech and Slovak Republic separated from each other yet, rivalry exists between the two countries. Particularly, the socio-economic factors contributing to this rivalry have been of interest to economists. To further explore this rivalry, this master thesis aims to describe the difference in evolution of demographic, economic and social indicators that characterize development of countries and standard of living of its population. This paper consists of four main chapters. The first chapter outlines the introduction to time series and describes methods used in the following chapters for analysis of indicators. The second chapter briefly defines monitored indicators in terms of their objectivity, methodology and comparability in both countries. The third chapter analyzes the evolution in time and directly compares the values of indicators. The fourth chapter analyzes the average and median wages in greater detail. These indicators were chosen for analysis as they largely affect the standards of living in both countries. From the perspective of comparison method it is not straightforward to determine that one country has better results in all indicators than the other. Yet, here are two main broad conclusions. First, the notional "scores" are similar for demographic indicators. Second, Czech Republic has better social and economic indicators results then Slovak Republic. The analysis of trend models of average and median wage found that the social gap is widening in both countries. However, after converting to the same exchange rate, it is clear that the wage level is better in Czech Republic then in Slovak Republic.
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ANALYSIS OF THE COMPANY USING TIME SERIES METHODS AND FINANCIAL ANALYSIS
KÚNOVÁ, Lucie
The goal of my bachelor work was to analyze the company Profi - Service, Ltd., which I chose for it. I have divided the work into two parts. In the first part I focused on the analysis of time series development of the profit. Firstly described the behavior of this series and modeled it using different models. The first model I focused on is the small trend method. Then I created model with seasonality regression. In the end of this section I will make a spectral analysis. Based on these models, I tried to predict the future development of the profit. For the calculation of some values I used program Statistika. In the second part, I focused not only on the financial analysis of the company Profi - Service, Ltd., but for making comparison, I made financial analysis for the company Uniclean, Ltd. too. The resulting values of indicators were also compared with industry averages. I started with evaluative indicators, next I made the analysis of funds and finaly I made a pyramidal decomposition of indicator the return of equity.
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rDeterminants of Sales and Attendance of Shopping Centre
Kadlec, Martin ; Bolcha, Peter (advisor) ; Koubek, Ivo (referee)
The thesis analyses determinants of shopping centre sales and its attendance demand; it is based on data of the specific shopping centre from the years 2007 -- 2011. Based on a five-year monthly time series, two sales models are created. One model tracks sales per customer, the other deals with the shopping centre sales which are compared with the sales index of retailers. On the other hand, a model of the shopping centre attendance demand uses figures of a five-year daily time series. Independent variables with significant effect on dependent variables are identified in the theoretical part. The models are estimated using the Ordinary Least Squares estimation. In all models, seasonal influences proved to be a significant determinant. In the sales models, hypotheses of the competition effect have been verified. Furthermore, in case of the attendance demand model, weather and marketing effects were estimated as important. Surprisingly, the economic variables proved themselves to be insignificant, which could be caused by the relatively short observation period. The limiting factor of all models is also the fact that the dataset consists of one shopping centre only. It prevents the author from conducting a comprehensive examination of other important determinants of shopping centre sales and attendance.
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Statistical analysis of the consumption of table wine in the Czech Republic with a specific focus on boxed wine
Procházková, Romana ; Šimpach, Ondřej (advisor) ; Jeřábková, Věra (referee)
The aim of this work is a statistical analysis of the consumption of table wine in the Czech Republic with a specific focus on boxed wine. The work is divided into three parts. The first section describes the basic theoretical concepts and statistical methods used in the practical part of this work. The second part analyzes the respondents' answers to survey questions of MML-TGI (Market & Media & Lifestyle -- Target Group Index). The third part is focused on the analysis of time series - the evolution of prices of table wines. The conclusion summarizes the results of this work. Based on the polynomial regression approach the time series of average prices for individual types of table wine are aligned, and they are clearly shown in the graphs.
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Data Quality Monitoring Methods Applied to Data Processed by Decision Support Systems
Hološková, Kristína ; Lorenc, Miroslav (advisor) ; Petráš, Miroslav (referee)
The business data could be considered as the raw material for decision-making process, for the development of corporate strategies and overall running of the business. Therefore, adequate attention should be paid to quality of the data. The main goal of the diploma thesis is elaboration of a specific framework for data quality assurance, which combines three theoretical concepts: time series analysis, data screening and data profiling -- business-specific data profiles are monitored by data screening during the data warehouse ETL (extract, transform and load) process and results are afterwards compared with the values predicted by time series analysis. Achievement of this goal is based on the analysis of "data quality" in literature, exact problem definition and selection of appropriate means for its solution. Moreover, the thesis is analysing alternative solutions available on the market and comparing their functionality with the functionality of own framework, as well.
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The Impact of External Events on the Market Capitalization of Companies
Zelenka, Jaroslav ; Krabec, Tomáš (advisor) ; Veselá, Jitka (referee)
This diploma thesis analyses the relationship between external events (i.e. events with impact within the Czech Republic which cannot be influenced by local firms) and the value of market capitalization of companies on Prague Stock Exchange. The analysis of the 1994 to 2012 time series showed that even the most important political, economical and other events specific for the Czech Republic only have marginal impacts on values of companies on the Czech stock market. The impacts of corporate events proved to have much stronger such effects. The most advisable investment recommendation thus seems to be to ignore external events when deciding in which stocks to invest.
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Effects of Insider Trading Regulation
Zelenka, Jaroslav ; Bolcha, Peter (advisor) ; Mičúch, Marek (referee)
This thesis analyses the relationship between insider trading regulation (broadly interpreted) and equity costs of firms on data from the Chinese, South African and Russian capital markets covering the years from 1995 to 2011. Time series analysis showed -- as expected -- that stock markets in each of the countries react in specific ways: E.g. none of the regulatory measures proved effective in decreasing the equity costs in the case of South Africa. Analysis of the Chinses and Russian data showed, however, a possible common feature of the participants on the two markets. It seems that these markets react to mere signals of upcoming regulatory measures rather than on these measures themselves. This interpretation of the results is thus in line with the rational expectations hypothesis.
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