National Repository of Grey Literature 696 records found  beginprevious21 - 30nextend  jump to record: Search took 0.00 seconds. 
A Time Series Analysis of Unemployment in the Czech Republic
Dvořák, Tomáš ; Káfuňková, Jana (referee) ; Doubravský, Karel (advisor)
The subject of this bachelor´s thesis is to analyse unemployment in the Czech Republic. It deals with the time series and regression analysis. Both current unemployment in the Czech Republic and unemployment in the South Moravian Region are examined. Based on this analysis future trend is predicted.
Assessing the Financial Efficiency of a Company Using Time Series Analysis
Raiskubová, Lucie ; Michalíková, Eva (referee) ; Doubravský, Karel (advisor)
The subject of this bachelor‘s thesis is the evaluation of financial situation of a company DADKA VRACOV Ltd. using selected financial analysis indicators. Evaluation is performed on the basis of financial statements for the past six years. This thesis also include the subsequent predictions of the future development using time series and regression analysis. Evaluation of the situation of a company and suggestions for its improvement are in the conclusion.
Assessing Selected Indicators of a Company Maregs, spol. s.r.o. Using Time Series
Kugler, Tomáš ; Coufal, Kamil (referee) ; Doubravský, Karel (advisor)
Bachelor’s thesis deals with the assessment of chosen indicators of company MAREGS, spol. s.r.o. by using time series, application of regression analysis, forecasting and evaluation of these indicators. Bachelor’s thesis conatins the teoretical description of time series, regression analysis and selected economic indicators. In the practial part, are created time series of calculated indexes in the given period of company. From these time series also comes regression analysis of forecasts of the future developments. From evaluations economic indicators and from making forecast of future state of company, will be clear actuall situation and probable future progression. Main thing of these analysis are recommendation, how to corectly react, to achieve an improvement in financial situation. Another part of the work is about to create a program in Visual Basic and MS Excel, which can be used as a tool for making everytime actual forecasts of future development.
Assessing Selected Indicators Using Time Series Analysis
Travencová, Darina ; Mach, Zdeněk (referee) ; Doubravský, Karel (advisor)
The master´s thesis evaluates the economic situation of the company SCHWARTZ TECHNICKÉ PLASTY ČR s. r. o. using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression and correlation analysis. In the practical part is an analysis of selected indicators of financial analysis, then statistical methods are used to predict future developments for the coming two years and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation, which are based on calculations from the practical part.
Analysis of Economic Indicators Using Statistical Methods
Dorčincová, Šárka ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The aim of this thesis is to analyse economic indicators in Regional charity Ústí nad Orlicí. This thesis specifies given financial ratios, for example ratio of profitability, indebtedness, liquidity, etc and also compares the theory with their real analysis where statistic methods applied. It contains proposals for improvements and solutions of problems of the given organization.
Mathematical and Statistical Methods as Support of the Development of Software Applications
Krayzlová, Lucie ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This diploma thesis disserts mainly on the software application development created through language Visual Basic for Application, which serves to creation of macros and automation of work in Microsoft Excel. The Application is made specially for company PENTACO, spol. s.r.o. The software allows to calculate complete financial analysis of company for last 8 years. Statistical methods are used for prediction of future indicators. The financial analysis will reveal the weaknesses and strengths of the company and on their basis will be suggested solutions for fixing of problems and company situation.
Assessing the Financial Situation of TECHNOS, a.s Company Using Time Series Analysis
Auxtová, Júlia ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor's thesis is focused on the examination of financial situation of the company TECHNOS, a.s. during the years 2010 - 2015 using time series, regression analysis and assessment of financial indicators. The thesis is divided into three parts. The theoretical part describes selected indicators, time series and regression analysis in conceptual terms. The practical part introduces company and analyzes selected economic indicators of this company based on its financial statements. In the last section there are compiled prognoses of the analysed indicators and suggestions for improvement the financial situation of the company using statistical indicators.
Software Application for Assessment of Selected Indicators
Lacková, Iveta ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This study describes development of the software to support stock management for small e-commerce companies. The software development was done for the company called MegaComics. The purpose of the developed software is automated calculation of the optimal stock values based on the predicted demand. The first part of the document contains an overview of theoretical knowledge needed during the development of the software. Next to that, it describes the company and calculations required for the application development. The last part contains details on the software application and code which was developed in Visual Basic for Applications.
Assessing of the Financial Situation of a Company Using Time Series Analysis
Kalousková, Petra ; Musilová, Martina (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with an assessment of the topical financial situation of BARVY A LAKY TELURIA, s. r. o. using the time series analysis. The theoretical part focuses on the description of the financial indicators, analysis of the time series, and subsequently the regressive and correlative analysis. In the practical part, selected financial indicators are statistically analyzed. The future two-year development of indicators is predicted on the basis of the selected models; subsequently dependencies among the particular indicators are determined. In the conclusion, proposals to ameliorate the current financial situation of the company are recommended, which was carried out on the basis of the identified shortcomings.
Analysis of the Financial Efficiency of a Company Using Time Series
Smékalová, Romana ; Matulová, Naděžda (referee) ; Doubravský, Karel (advisor)
This work deals with the evaluation of the company by using statistical methods. There will be processed the financial indicators of business performance, such as total cost, total revenues, liquidity, profitability and Altman index of the company. The results will be displayed in time series, which will help with clarifying the long-term trend. Of these data will be set the prognosis for the future. The thesis concludes with suggestions to improve activity of the company and her position in the market.

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