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Analysis of Economic Indicators Using Statistical Methods
Ivachshenko, Olga ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The bachelor thesis focuses on the financial analysis of ABB s. r. o company by using statistical methods. The thesis consists of two main parts. The main purpose of the first part is the describing of individually economic indicators of the company and regressive analysis with the time series. The second part includes the financial analysis and the prediction of further development for the company. As the conclusion of these two parts, there is suggested recommendations for improving the financial situation in the future.
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Corporate Performance Assessment using Maple Software
Kopečná, Barbora ; Hanušová, Helena (referee) ; Chvátalová, Zuzana (advisor)
The diploma thesis focuses on the evaluation of the performance of a selected company operating in the food industry in the period 2013-2018. The thesis uses PEST analysis, regression analysis and time series analysis in Maple software and benchmarking. Using these tools and the results of analyses, proposals are made to improve the company's performance and also future potential development of the company is descripted.
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Application of Mathematical and Statistical Methods in Company Management
Becher, Matej ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
Diploma thesis deals with the financial analysis of a banking entity operating in Czech Republic and the analysis of time series of selected indicators. The first part gives methodology of the work and theoretical bases for processing financial analysis and time series. The second practical part consists of analysis itself. Based on the results, the state of banking company is evaluated in the final part and the possibilities and proposal are introduced for entity operating in the banking market.
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Face Parametrization From Video Using Face Recognition Methods
Lieskovský, Pavol
In the frame of this article, a program has been created that can extract persons face features from the video of an speaking person into a structured time series form suitable for further processing. Such a program utilizes machine learning and face recognition methods and it represents a solution to the general problem of face parametrization from video that can find its applications across many different fields.
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Assessment of Economic Situation of a Company and Proposals for Its Improvement
Trtková, Markéta ; Velecký, Lukáš (referee) ; Doubravský, Karel (advisor)
The diploma thesis evaluates the economic situation of the company Niveko s.r.o. in between years 2011 to 2018. The theoretical part describes financial indicators, time series, regression and correlation analysis. The analytical part contains calculations of financial indicators, some of which are selected for statistical analysis, which is used to determine the expected development of indicators in the next two years or to reveal the dependence between selected indicators. The last part contains suggestions for improving the current economic situation of the company.
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Risk Analysis for Important Factors of Firm Using Statistical Methods
Ochabová, Miroslava ; Žák, Libor (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis deals with the analysis of financial indicators using time series, regression analysis and interval regression analysis of a selected company. The diploma thesis describes selected financial indicators, time series, regression analysis and interval regression analysis. Furthermore, the calculations of financial indicators for the selected company and the characteristics of the time series are performed. Individual financial indicators are subjected to regression analysis and interval regression analysis. Based on the performed analyzes, the company's risk factors are determined and recommendations for the improvement of the current situation in the company are proposed.
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Risk Management in Selected Subject by Means of Statistical Methods
Oralová, Ivana ; Žák, Libor (referee) ; Karpíšek, Zdeněk (advisor)
The diploma thesis is focusing on the review of financial indicators of a selected company through the use of statistical methods. Time series analysis, interval regression analysis, and regression analysis were used to analyse financial indicators, and based on that a prediction of the development in the next two years was created. The analysis also addresses potential risks for the company and possible ways to lower them. Based on the information obtained from the analysis a complete evaluation is created and recommendations are made to improve the company’s situation.
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Evolutionary Prediction of Time Series
Křivánek, Jan ; Bidlo, Michal (referee) ; Sekanina, Lukáš (advisor)
This thesis summarizes knowledge in the field of time series theory, method for time series analysis and applications in financial modeling. It also resumes the area of evolutionary algorithms, their classification and applications. The core of this work combines these knowledges in order to build a system utilizing evolutionary algorithms for financial time series forecasting models optimization. Various software engineering techniques were used during the implementation phase (ACI - autonomous continual integration, autonomous quality control etc.) to ensure easy maintainability and extendibility of project by more developers.
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Weather Forecast Based on Different Sources
Hořák, Martin ; Kořenek, Jan (referee) ; Novotný, Tomáš (advisor)
Bachelor thesis deals with the weather forecast through the artificial neural network with backpropagation method. The forecast is based on data obtained from freely accessible services offering weather information. The created application downloads and saves the forecasts from servers and creates a new forecast. The results of the prediction are being compared with the reality and the original services.
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