National Repository of Grey Literature 183 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Application of Mathematical and Statistical Methods in Company Management
Machálek, Martin ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
Thesis is focused on analysis of company, by using mathematical and statistical methods, which will be described in first part of this thesis. In next part this methods will be used to analyze the financial situation of the company. The last part of thesis will be focused on my own solutions of the problems which will be found by the analysis.
Assessing Selected Indicators Using Statistical Methods
Molík, David ; Johanides, Petr (referee) ; Doubravský, Karel (advisor)
This bachelor thesis is focused on the assessment of selected indicators of company KOPOS KOLÍN a.s. using statistical methods in the period from 2012 to 2017. The thesis is divided into three main chapters. In the first part the thesis is focused on the theoretical background to the given topic, namely on the concepts related to the financial analysis and consequently on the statistical methods. The second part is devoted to the evaluation of selected financial indicators of the company KOPOS KOLÍN a.s., finding problems, comparison with competitors and prediction of future development. The third part contains suggestions for improving the financial situation of this company based on the output of the analyzed indicators.
Mathematical and Statistical Methods as Support of the Development of Software Applications
Černý, Radek ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The bachelor thesis is focused on the creation of an application that uses the mathematical and statistical methods to analyse the financial situation of companies of natural persons. The application is created in Microsoft Office Excel using the Visual Basic for Applications programming language. The proposed part contains recommended measures for the company EFIOS, Ltd., which contribute to the elimination of weaknesses revealed by financial analysis.
Mathematical and Statistical Methods as Support of the Development of Software Applications
Černý, Radek ; Novotná, Veronika (referee) ; Šustrová, Tereza (advisor)
The aim of this bachelor thesis is to analyse the financial situation of the company EFIOS, Ltd. The results of the analysis are subjected to statistical methods in order to predict the future development of economic indicators. The proposed section lists the recommended measures against weaknesses revealed by financial analysis. Part of the thesis is also an application created using the programming language Visual Basic for Applications.
Ekonomické aspekty vybraného nábytkářského podniku
Drápelová, Andrea
Subject of bachelor thesis is processing of economic analysis in the company HANAK NABYTEK, a. s., which has headquarters in Kroměříž. Analysis of economic indicators was elaborated with statistical methods in years 2007-2013. This thesis consists of theoretical and practical part. Theoretical part contains characteristics of basic economic concepts, which are used for use in processing values. The practical part of the thesis focuses on the analysis and comparing using tables and graphs. The conclusion evaluates the final status of the company and suggested actions of improvement.
Econometric analysis of unemployment in Czech republic
Melnyk, Anastasiia ; Formánek, Tomáš (advisor) ; Sokol, Ondřej (referee)
This bachelor thesis deals with the issue of unemployment in general, and in the practical part concretely - unemployment rate in the Czech Republic and Austria. Firstly, the thesis examines the theory of general concepts for getting acquainted with unemployment in an open economy, then explains different types of unemployment and the factors that cause them. Separately describes Okun's law and introduces the regression equation, which will be verified later on empirical data. Next, it will introduce to us selected econometric methods of unemployment analysis, primarily focusing on the problems of time series, with which it will work in the practical part. Particularly, it will describe general terms in econometrics, techniques of estimation of parameters for regression equation, decomposition of time series and their characteristics, use of dummy variables in econometric modeling, econometric and statistical verification of model. In the practical part empirical analysis and evaluation of the results are going to be performed - firstly, decomposition of time series and proper seasonal adjustment.,then test of time series for unit root and subsequently differentiation for detrending. As a hypothesis, some of the factors described in the theoretical part will be selected:: citizens' level of education, minimum wage, global crisis of 2008, intervention of CNB, and GDP (based on Okun's law). Regression of unemployment rate on individual factors will be run, the model also will be gradually expanded by other variables and will be tested for the unit root and heteroskedasticity. Estimates using the Generalized Least Squares method will be compared to the OLS estimates. Thesis will be summarized by conclusion of the empirical analysis.
Analysis of salaries and wages in the capital city of Prague
Jermář, Martin ; Löster, Tomáš (advisor) ; Šimpach, Ondřej (referee)
The aim of the bachelor thesis is to analyse the development of wages and salaries in Prague, the capital city of the Czech Republic by using statistical methods. The thesis includes a general description of terms of salary and wage sphere, time series and selected applied statistical methods. In practical part the analysis of development of wages and salaries in Prague will be performed using the rates of dynamics. Further, time series predictions will be created using adaptive methods. The analysis should familiarize the reader with wage and salary developments for the period from 2011 to 2016 and outline the predictions of possible values in 2017. The results of the thesis show a higher increase in average and median monthly earnings in a wage sphere, increasing disproportions in monthly earning between men and women and bigger disproportions in monthly earnings in the wage sphere. Based on predictions performed the growth of wages and salaries is expected in 2017.
Financial time series model identification
Fučík, Jan ; Zichová, Jitka (advisor) ; Prášková, Zuzana (referee)
This thesis deals with the financial time series model identification. The univariate and multivariate ARMA models and their identification criteria are described. The procedures using the correlation structure of the time series and some information criteria are presented. The functioning of the criteria is verified on simulated time series AR, MA and ARMA. Afterwards, the criteria are compared in terms of reliability and simplicity of use. Finally, there are two examples of univariate and multivariate ARMA model identification for the real financial time series. The data and the R programme source code are enclosed on a CD. Powered by TCPDF (www.tcpdf.org)
Seasonal state space modeling
Suk, Luboš ; Cipra, Tomáš (advisor) ; Zichová, Jitka (referee)
State space modeling represents a statistical framework for exponential smoo- thing methods and it is often used in time series modeling. This thesis descri- bes seasonal innovations state space models and focuses on recently suggested TBATS model. This model includes Box-Cox transformation, ARMA model for residuals and trigonometric representation of seasonality and it was designed to handle a broad spectrum of time series with complex types of seasonality inclu- ding multiple seasonality, high frequency of data, non-integer periods of seasonal components, and dual-calendar effects. The estimation of the parameters based on maximum likelihood and trigonometric representation of seasonality greatly reduce computational burden in this model. The universatility of TBATS model is demonstrated by four real data time series.
Holt-Winters method for exponential smoothing
Koritarová, Lenka ; Cipra, Tomáš (advisor) ; Prášková, Zuzana (referee)
"his thesis de-ls with the methods of exponenti-l smoothingF et (rst the prin iE ples of exponenti-l smoothing -re expl-inedF e fo us on -si -ppro- hesX sinE gleD dou le smoothing -nd the rolt¡s methodF "hese pro edures -re suit- le for the modeling time series without se-son-l omponentF rowever in pr- ti e there -re frequent time series with se-son-lityF por su h time series the roltE inter¡s method is usedF "his method is -sed just on the prin iples of exponenti-l smooE thingF sn the l-st p-rt of this thesisD there is demonstr-ted using this methods on re-l d-t-F

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