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Assessing Selected Indicators Using Statistical Methods
Doležel, David ; Michalíková, Eva (referee) ; Doubravský, Karel (advisor)
The bachelor thesis is focused on the assesment of financial situation of the company Gebauer a Griller Kabeltechnik, spol. s.r.o. by using financial analysis and statistical methods. The first part deals with the description of goals, methods and processing. The theoretical part provides information about financial analysis, regression analysis and time series. The practical part contains the analysis of the company using the methods described in the theoretical part. In the last part, with the help of the achieved results, are proposed own solutions to the found problems and shortcomings.
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A Demand Forecasting Model for Bottled Beer
Bek, Klára ; Oulehla, Jiří (referee) ; Luňáček, Jiří (advisor)
This Bachelor thesis deals with building an econometric model of a bottled beer consumption forecast. The aim of this study is to provide such input in an investment plan, which considers purchasing a bottling line in a craft brewery. Besides it contains procedures of statistical and econometric model verifications in order to determine the optimal one.
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Analysis of Economic Data Using Statistical Methods
Maňková, Veronika ; Janíčková, Nikola (referee) ; Michalíková, Eva (advisor)
The bachelor thesis is focused on the evaluation of the financial situation of Scania Czech Republic s.r.o. using financial indicators and statistical methods. The theoretical part of the thesis first present all the important information, which is then used in the practical part to calculate the economic indicators. The practical part is drawn from the available resources from the company on which the financial analysis is based. Statistical methods are then determined primarily for prediction based on the calculated financial analysis. The final result, evaluation of calculations and advice for the following years can be seen at the conclusion of the bachelor thesis.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Pisařovicová, Klára ; Procházková, Kateřina (referee) ; Doubravský, Karel (advisor)
The presented diploma thesis is focused on the evaluation of the economic situation of the selected company in the years 2012 to 2019. The theoretical part presents the financial indicators, time series, regression and correlation analysis. The analytical part contains the results of financial indicators. Some results are then used for statistical analysis to determine the possible development of indicators in the next two years or to determine the dependence between certain indicators. The last part includes proposals to improve the current economic situation of the selected company.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Sivolobová, Kateřina ; Julinková, Ivana (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with the evaluation of the economic situation of the company ABC, in the years 2012 to 2019. The first, theoretical part of the thesis describes financial indicators, regression and correlation analysis and time series. The practical part of the diploma thesis contains calculations of financial indicators, some of them are selected for statistical analysis, which further serves as a prediction of development in the next two years. The practical part also compares the results with the industry average. The last part of the work contains proposals that lead to the improvement of the financial situation of the selected company.
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Assessment of Selected Indicators of an International Company Using Statistical Methods
Zouharová, Daniela ; Špačková,, Romana (referee) ; Doubravský, Karel (advisor)
The thesis deals with the assessment of the economic situation of a selected company using statistical methods. The theoretical part describes the financial indicators, time series and regression analysis. The analytical part contains the calculation of selected indicators, which are subjected to statistical analysis. Based on the statistical analysis, the future development of indicators in the next two years is predicted. The last part contains suggestions that can lead to the improvement of the current situation of the company.
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Assessment of the Economic Situation of the Parent Company Using Statistical Methods
Zborovská, Marie ; Maňáková, Marie (referee) ; Doubravský, Karel (advisor)
The master‘s thesis examines the issue of the interconnection of market potential with financial indicators and other variables. Data from the financial statements of ABC, s. r. o. operating on the Slovak IT market are used. The dependence of market potential and other market variables was evaluated using statistical methods. Subsequently, the analysis of selected financial indicators of the company ABC, s. r. o. is statistically evaluated and the dependence with market potential is verified. Thanks to the results, the company's proposals are determined, taking into account the current situation in the world.
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Application of Statistical Methods in Assessing Selected Indicators of a Company
Hodulíková, Eva ; Dobešová, Romana (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with the application of statistical methods in assessing selected indicators of the company ABC, Ltd. This work is divided into three parts. The first part explains the terms related to financial indicators, macroeconomic indicators, regression and correlation analysis and also, this part of the work explains the matters of time series. The second part contains an analysis of the current state. Individual analyses of indicators and their predictions are performed in it. Also, there is a research concerning the influence of macroeconomic indicators on the financial performance of ABC, Ltd. In The last part of this diploma thesis, changes are proposed that should lead to the improvement of the current situation of the company.
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Bayesian modeling of market price using autoregression model
Šindelář, Jan
1 Bayesian modeling of market price using autoregression model 1Šindelář Jan Department: Department of Probability and Mathematical Statistics Supervisor: Ing. Miroslav Kárný, DrSc. Abstract: In the thesis we present a novel solution of Bayesian filtering in autoregression model with Laplace distributed innovations. Estimation of regression models with lep- tokurtically distributed innovations has been studied before in a Bayesian framework [2], [1]. Compared to previously conducted studies, the method described in this article leads to an exact solution for density specifying the posterior distribution of parameters. Such a solution was previously known only for a very limited class of innovation distributions. In the text an algorithm leading to an effective solution of the problem is also proposed. The algorithm is slower than the one for the classical setup, but due to increasing com- putational power and stronger support of parallel computing, it can be executed in a reasonable time for models, where the number of parameters isn't very high. Keywords: Bayesian, Autoregression, Optimal Trading, Time Series References [1] P. Congdon. Bayesian statistical modelling. Wiley, 2006. [2] A. Zellner. Bayesian and Non-Bayesian analysis of the regression model with multivari- ate Student-t error term. Journal...
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