National Repository of Grey Literature 204 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
Assessing the Financial Indicators of a Company Using Time Series Analysis
Szováková, Zuzana ; Kovářová, Mária (referee) ; Doubravský, Karel (advisor)
The bachelor’s thesis focuses on analysis of the selected indicators using time series. The first part of this study presents the theoretic knowledge that is necessary to elaborate this study. The second part includes the analysis of selected indicators using the time series and it also contains forecasting of the indicators. The conclusion of this study consists of several recommendations for company to follow the trend or to improve current trend.
An Analysis of the Selected Firm Using Statistical Method
Polák, Daniel ; Horváthová, Ingrid (referee) ; Doubravský, Karel (advisor)
The aim of my bachelor´s thesis is analysis of chosen indicators of company Slovak Post, RPC Trnava Inc. by the help of time series and regressive analysis. In the first part, there is prepared a theoretical base for calculation and application of time series and regressive analysis in economics. In the second practical part, there is described the firm which is mentioned above, as well as, there is analyzed chosen indicators and suggestions on improvement.
Analysis of Economic Indicators Using Statistical Methods
Nguyen, Sao Linh ; Do, Hai Linh (referee) ; Štěpánková, Vladěna (advisor)
The bachelor thesis evaluates economical situation of a company RUDOLF JELÍNEK Ltd. using statistical methods. The paper comes out of the company's financial statement that have been economically analysed and led to statistical analysis. Using statistic methods together with historical data estimates future trends. Consequently, there are solutions that could lead to the company's financial stability and sustainable management.
An Analysis of SMEs Using Time Series
Zachovalová, Pavla ; Bendák, Lubomír (referee) ; Doubravský, Karel (advisor)
This bachelor`s thesis deals with the analysis and prognosis of selected economic indicators of small and medium enterprises in Czech republic using statistic methods.
The Use of Artificial Intelligence on Finacial Market
Hasoň, Michal ; Raušerová, Monika (referee) ; Dostál, Petr (advisor)
This diploma thesis is focused on artificial intelligence and its application in financial markets. For the prediction values and trends of selected exchange rates are used artificial neural networks. Artificial neural network is created in Matlab. This solution is subsequently evaluated.
An Analysis of Economic Indicators of the Company Using Statistical Methods
Maxera, Pavel ; Brychta, Karel (referee) ; Doubravský, Karel (advisor)
Bachelor thesis deals with analysis of selected economic indicators. On the basis of documents from accounting analyzes the historical evolution of economic indicators and then derive their future developments. In addition, selected company assessed from the perspective of marketing and compares it with its competitors in the market. It uses the statistical methods, time series and regression analysis.
An Examination of Financial Efficiency of the Company JMP, a.s. Using Time Series Analysis
Poláček, Lukáš ; Veverková, Jana (referee) ; Doubravský, Karel (advisor)
This bachelor’s thesis analyses the performance of the JMP company by time series. The thesis is divided into the two parts. In the first part, there is prepered a theoretical base for calculation and application of time series and regressive analysis in economics. In the second practical part, there is decribed the company which is mentioned above, as well as, there is analyzed chosen indicators and evaluation. In the end will be suggested the posible directions which could be followed by the company.
Analysis of the Financial Situation of a Company Using Time Series
Šimonová, Kamila ; Svoboda, Michal (referee) ; Doubravský, Karel (advisor)
This master’s thesis covers analysis of financial performance of company Jessgrove Central Europe s.r.o through analysis of time lines. Theoritical part is focused on definition of basic terms relating to analysis of time lines and regression analysis. In practical part, current situation of the Company is analysed. The conclusion brings own suggestions to improve current financial situation of the Company.
The Forecasting Model of Demand in the Textile Industry
Kunc, Tomáš ; Oulehla, Jiří (referee) ; Luňáček, Jiří (advisor)
Thesis is focused on forecasting methods and their comparison according to accuracy indicators. Forecast methods were utilized for building a forecast model of demand in texture industry. Usefulness of the thesis comes from forecasting an amount of demand in the future, which can be used by sellers, manufacturers and others impacted by amount of demand in textile industry. Thesis contains general reccomendations on forecasting process and helps with choice of appropriate methods of forecast.
An Analysis of the Company DEVI s.r.o. Using Time Series
Kamenský, Michal ; Lašák, Dušan (referee) ; Doubravský, Karel (advisor)
The subject of this thesis is application of statistical methods in the evaluation of a company’s economic indicators. Problems of time series and selected indicators of financial analysis are described in the theoretical part. In the practical part, financial statements of the company are analyzed and the future developments of the company’s economic indicators are predicted using the methods of time series and regression analysis. These forecasts serve as a basis for setting strategies and objectives of the company.

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