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Vývoj investic v odvětví ICT v České republice
Říhová, Lenka
This diploma thesis deals with the development of investments in the information and communication technology sector in the Czech Republic. The ICT sector is analysed in terms of foreign direct investments in the sector, exports and imports of products and services. The general trends and impacts of major macroeconomic events such as the country's entry into the European Union and the financial crisis on this sector through quantitative methods are described. The development of investments in the ICT sector in the Czech Republic is compared with other states of the European Union.
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Zhodnocení vývoje ukazatelů odvětví maloobchodu
Zichová, Barbora
Zichová, B. Evaluation of the development indicators of the retail sector. Bachelor thesis. Brno: Mendel University, 2018. This bachelor thesis deals with the development of basic economic indicators in retail, which are total sales, average monthly gross wages and number of employ-ees. An assessment of the impact of the financial and economic crisis on these in-dicators is carried out between 2002 and 2017. For verified time series models, predictions are made of future development for three years. Finally, appropriate recommendations for the development of the retail sector are formulated.
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Assessment of Selected Indicators of a Company Using Statistical Methods
Shalaginova, Daria ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
Master’s thesis is aimed at assessing the selected financial indicators of the company using statistical methods. Based on the results, the current situation of the company is evaluated. The thesis consists of three parts. The first part contains the necessary theoretical bases for processing the analytical part. The second part is devoted to the analysis of selected indicators, which are then applied statistical methods to the prediction of the future development of these indicators and findings, here between these indicators there is a dependence. At the end of this part, there is an evaluation of the analyzed indicators. The third part presents appropriate proposals for solutions to existing problems caused by indicators that deviate from the recommended values.
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Assessment of Selected Indicators of a Company Using Statistical Methods
Rešková, Petra ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
Master´s thesis deals with the assessment of selected financial indicators of the company using a statistical methods. The first part is focused on the theoretical description of financial indicators, time series analysis as well as regression and correlation analysis. The practical part contains a statistical analysis of selected indicators with subsequent prediction of indicators for the next two years. The practical part also contains a comparison of selected indicators with the industry average and a correlation analysis to determine the dependence of selected indicators. The last part contains suggestions to improve the situation of the company.
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Evolution of housing prices and its determinants in CEE
Šedivý, Jakub ; Polák, Petr (advisor) ; Pečená, Magda (referee)
As housing is one of the important parts of gross domestic product and one of the most significant components of people's wealth it is vital to investigate the determinants of its prices. Therefore, we analyze housing prices in Central and Eastern European coun- tries using pooled mean group estimator and vector autoregressive models. The objective of this thesis is to find out whether the fundamentals of housing prices are comparable across different countries and how the shocks in the economy affect housing pricese. For our analysis we used housing prices per square metre, GDP per capita, unemployment rates, 5-year interest rates, harmonised indices of consumer prices and construction cost indices. The conclusions of using pooled mean group estimator suggest that GDP, un- employment, interest rate and HICP indeed significantly affect the housing prices. The results of empirical analysis of individual countries using vector autoregressive model con- clude that shocks in the determinants affect housing prices with lags of 2 to 3 quarters and that the individual countries are driven by slightly different fundamentals.
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Evaluation of speed fitness data at a league player in top football
Závišková, Žaneta ; Ryba, Jiří (advisor) ; Přibyl, Ivan (referee)
The conditioning preparation of a modern player in top football is an essential part for his excellent sporting performance. The theoretical part of the thesis is focused on conditioning preparation of the player in football, his motor skills and abilities. The thesis focuses in detail on very important skills in this sport, such as speed and speed endurance. The practical part will deal with collecting the speed data of the football player. These data will be processed in both factual and statistical terms. The aim of the research will be the evaluation of the measured data. The results will be compared between the autumn and spring parts of the league, depending on the player's performance. Player data will also be compared with another player on the same position. The conclusion of the thesis is to point out that speed is often a decisive factor in many football situations, and to confirm that while improving the speed abilities, the performance of the player will also increase parallelly.
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Analyze and economic time series forecasting by using selected statistical methods
Skopal, Martin ; Charvát, Pavel (referee) ; Mauder, Tomáš (advisor)
V této diplomové práci se zaměřujeme na vytvoření plně automatizovaného algoritmu pro předpovědi finančních řad, který se snaží využít kombinační proceduru na dvou úrovních mezi dvěma rodinami předpovědních modelů, Box-Jenkins a Exponenciální stavové modely, které jsou schopny modelovat jak homoskedastické tak heteroskedastické časové řady. Pro tento účel jsme navrhli selekční proceduru v prostředí MATLAB pro modely ARIMA. Výsledný kombinovaný model je pak aplikován několik finančních časových řad a jeho výkonost je diskutována.
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Relationship between Changes in Betting Odds and Results of Football Matches
Jurkovič, Juraj ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
The goal of this thesis is to demonstrate techniques for solving web scraping and knowledge discovery tasks. The case study is focused on the extraction of data from bookmaker websites and subsequent analysis of collected data. The thesis demonstrates the implementation of web scraping task in Python language. The thesis describes selected implementation details for developing such a system and proposes a database schema that can be used for this purpose. Collected data is analyzed using statistical methods and frequent patterns are discovered in odds movements using apriori algorithm. Discovered relationships and frequent patterns are presented to the end user.
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Assessing Selected Indicators Using Statistical Methods
Hlaváčková, Martina ; Součková, Markéta (referee) ; Doubravský, Karel (advisor)
The bachelor thesis is focused on evaluation of the financial situation of the company and the prediction of the potential development with the help of selected indicators of financial analysis and the use of statistical methods. The first part focuses on the theoretical background. In the second part - practical, there are selected indicators of financial analysis and statistical methods such as time series analysis and regression analysis. After that, on the basis of the results obtained at the end of the work, suggestions are suggested to improve the current situation of the company.
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Mathematical and Statistical Methods as Support of the Development of Software Applications
Kinc, Petr ; Novotná, Veronika (referee) ; Šustrová, Tereza (advisor)
This diploma thesis focuses on the design and development of the software tool using C# programming language and his subsequent implementation into the Microsoft Dynamics NAV information system. The task of this tool is to analyze the development of selected indicators using statistical methods and to predict their future development. On the basis of these predicted data, is created an indicative budget to support decision making on the determination of key accounting parameters and coefficients for the next accounting period in the company Vodovody a kanalizace Hodonín, a.s.
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