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Demografický vývoj regionu Provence v jižní Francii
Benešová, Aneta
The thesis deals with the demographic development in the southeast region of France called Provence-Alpes-Côte d'Azur. The demographic development is focusing on the period from 2004 to 2014. The thesis deals with demographic structure of the region, demographic processes such as death rate, birth rate, nuptality and divorce rate. The theoretical part describes demography as a science, explains demographical sources and more characterised demographical processes. The practical part analyzes demographic events and compares them with metropolitan France. Finally it predicts indicators till 2016 using method of equalization of time series and the trend line.
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Assessing Selected Indicators of a Company Using Time Series Analysis
Petrlíková, Petra ; Kašparová, Věra (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with an assessing selected indicators of a KAVALE company s. r. o. using time series analysis. Issues of financial analysis, analysis of period lines, regressive analysis and correlative analysis are described in a theoretical part. Practical part is focused on statistic analysis of selected indicators of financial analysis. Its aim is to reveal dependance between indicators and prediction of their future development for the next two periods of time. Comparison of the analyzed company with an average sector and with two rival companies is also part of the practical section. On the basis of these analyzes I recommend proposals to improve the financial situation of the company.
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Statistical Analysis of an Organization´s Economic Risk Factors
Ambrožová, Andrea ; Sylva, Šujanová (referee) ; Karpíšek, Zdeněk (advisor)
This thesis deals with the evaluation of high-risk economical factors of one particular organization and consequently with their evaluation based on statistical methods. The principal aim of the study was to determine the dominant economic indicators of the organization and assess their development over time based on statistical methods, using statistical tools. The tools utilized in the thesis were Statgraphics Centurion XV and MS Excel.
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Assessing the Efficiency of a Company Using Statistical Method
Pastyřík, Jaroslav ; Kopka,, Radomír (referee) ; Doubravský, Karel (advisor)
The master’s thesis deals with the evaluation of financial efficiency of the company Bučovice Tools, a.s. using statistical methods. The theoretical part describes financial analysis, time series analysis, regression analysis and correlation analysis. In the practical part, the selected indicators of financial analysis are subjected to statistical analysis to detect dependence between indicators and to determine the prediction of the future development. Based on the financial results, the company is compared with a chosen company and with average indicators of the industry and are designed possibilities to improve the economic situation.
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Pattern Recognition in Temporal Data
Hovanec, Stanislav ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
This diploma work initially conduct research in the area of descriptions and analysis of time series. The thesis then proceed to introduce the problems of technical analysis of price charts as well as indicators, price patterns and method of Pure Price Action. The method Pure Price Action is demonstrated in this work in two practical examples of its application to real businesses with a view to discovering and analyzing price patterns, as well as analysis and prediction of future price and financial evolution. This analysis is an introduction to the processes of successful business, following on from this we discuss the theme of Pattern Recognition and the Instance Based Learning method. The practical aspect of this work is carried out with the aid of a MATLAB applied algorithm for the analysis of the price pattern Correction for sale and purchase in dynamic time segments, specifically in trading price graphs, like those used for commodities or stock trading. For the analysis of time series we use the Pure Price Action method. The Instance Based Learning method is used by the algorithm to recognize price patterns. The created algorithm is verified on real data of a 5 minute time series of the US Dow Jones price charts for the years 2006, 2007, 2008. The achieved accuracy is evaluated with the aid of Equity Curves.
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Pattern Finding in Dymanical Data
Budík, Jan ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
First chapter is about basic information pattern learning. Second chapter is about solutions of pattern recognition and about using artificial inteligence and there are basic informations about statistics and theory of chaos. Third chapter is focused on time series, types of time series and preprocessing. There are informations about time series in financial sector. Fourth charter discuss about pattern recognition problems and about prediction. Last charter is about software, which I did and there are informations about part sof program.
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The analysis of the emission of loans in banking sector in the Czech Republic in period 2005 - 2015
Bergauer, Marek ; Blahová, Naděžda (advisor) ; Kaimova, Nadira (referee)
My thesis focuses on emission of bank loans and its analysis between 2005 and 2015 in the Czech Republic. This thesis informs a reader about Czech banking sector which is the main source of external financing in non-financial enterprises as well as among households. Emission of bank loans to these two sectors is very important for the czech economy that's why one chapter describes this issue. Also the various aspects such as global financial crisis, joining the Czech Republic to the Europian Union, interest rates and their influence on loan emission are shown. Thesis offers some facts about financial cycle and its indicator which has certain forecasting abilities.
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Comparison of the development of the telecommunications market in the Czech Republic in the years 2002-2012
Khmelevskiy, Vadim ; Löster, Tomáš (advisor) ; Makhalova, Elena (referee)
The aim of this work is to evaluate the economic success of three major mobile operators on the Czech market (T-Mobile, Vodafone and O2), compared with each other to analyze their development in the period preceding the financial crisis, in the time of the crisis and in the time of recovery from the crisis. All necessary data were taken from the annual reports for the years 2002 to 2012. The work is divided into two chapters. The first part will be devoted to financial analysis, from which it will be possible to assess the financial health of the company. The second part will focus on the analysis of time series data of some selected indicators of the company, particularly the profit after tax of equity and total liabilities. Based on the use of appropriate statistical methods, the prediction of the future development of the indicators of profit after tax will be carried out.
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