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Price development of selected agricultural commodity
Žitný, Ondřej ; Mach, Jiří (advisor) ; Hošková, Pavla (referee)
Bachelor thesis aims on price development of tea in Kenya. Introductory part includes basic information about tea, its sorts and its cultivation. Subsequently the biggest world tea producers and exporters are introduced and then the thesis is devoted to the system of defining and creating tea price. This chapter comprises descriptions of individual factors influencing tea price as. Methods such as regression and correlation analysis, and time series analysis were used for analyzing of tea price development.
The results of regression and correlation analysis revealed that tea price within the time span of one year is influenced from 40 % by the volume of concrete country´s production, whereas tea price within one month is influenced from 6 % by the volume of country´s production. According to time series analysis tea price will grow in the future. However having a look into the past, sudden tea price jumps can not be excluded.
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Statistical analysis of a selected company activities and its prospects
Kaminský, Tomáš ; Prášilová, Marie (advisor) ; Hošková, Pavla (referee)
The bachelor thesis is focused on statistical analysis of major economic indicators of a selected company in the timeframe of 2004 to 2013. Firstly, the financial health through financial ratios (profitability, activity, liquidity and debt) is assessed. Source data is based on the balance sheets, the profit and loss statements and the internal company information. The results are supplemented by calculating the bankruptcy Altman Z-score model. Using elementary characteristics and time series analysis, aggregated revenues and expenses of the selected company are evaluated. The thesis includes a forecast of the future development of these economic indicators. Based on the results of the analysis, several proposals and recommendations for further development in the economic and business environment of the Czech Republic are formulated.
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Dopady změn věkové struktury obyvatelstva na důchodový systém
Hasoňová, Jana
This diploma thesis deals with the development of the pension system in the Czech Republic since 2000. Time series analysis is used to assess changes in individual pension types and in the income and expenditure of the pension system. The thesis is furthermore focused on the average amount of the retirement income. The data analyzed come mainly from the database of the Czech Social Security Administration. Based on the information obtained, some measures for improving the Czech pension system are proposed.
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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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