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Assessment of Selected Company Indicators Using Statistical Methods
Rozkydal, Štěpán ; Michalíková, Eva (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with the assessment of selected financial indicators of the company STAVOČ spol. s r.o. using statistical methods in the years 2013–2020. In the theoretical part, financial indicators, time series analysis, regression analysis and correlation analysis are defined. In the analytical part, the theoretical knowledge is applied to the analysis of selected financial indicators. Some financial indicators are then subjected to statistical analysis on which the prediction of values of indicators for the following two years is carried out or the dependency between the selected indicators is determined. In the last part of the thesis, measures leading to the improvement of the current economic situation of the company are suggested.
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Bankruptcy Prediction Modelling in the Agriculture Business
Pokorný, Petr ; Peter,, Markovič, (referee) ; Karas, Michal (advisor)
This master’s thesis is focused on problematic within the prediction of bankruptcy of companies operating in the field of agriculture in Czech republic. First part consists of introduction to companies that do business in field of agriculture and it describes bankruptcy models that are used in academicals sphere. Other part of thesis is divided into two sub-parts. First part is dedicated to an application of data into models of bankruptcy and their evaluation. Second part is focused on improvement of the best model and its main goal is to maximize the precision of the bankruptcy.
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The use of artificial intelligence in the capital markets to reduce the risks of trading
Orság, Štěpán ; Budík, Jan (referee) ; Dostál, Petr (advisor)
This thesis deals with the prediction of trading at financial markets and by using the prediction is trying to reduce the risks of entering at the market. The prediction has been work out by using of artificial intelligence. The artificial intelligence is in this thesis represented by neural networks witch model and predict market behavior. The thesis contains a description of the financial markets, exchange trading and its analysis, and artificial intelligence methods. The main part of this thesis is a model for prediction of prices of a particular instrument. This model was developed in MATLAB and should serve as a support for making business decisions. Its aim is to predict the direction and magnitude of movement the price level for the next trading day. The output of this model is processed using the platform MetaTrader 4. At the end are evaluated possible gains from this solution.
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Modern coding of speech signals using overcomplete models
Zapletal, Ondřej ; Průša, Zdeněk (referee) ; Rajmic, Pavel (advisor)
The theoretical contents of this thesis are studies of overcomplete models. Those are the models of signals, on which is set for their parametrization more variables, than it's necessary and consequently there's computed so-called sparse solution via iteration algorithms. A goal of this analysis is a selection just of the considerable (sparse) parameters. The theory is based on a linear algebra, vector spaces, bases and so-called frames. The task of the individual project of this thesis is a description and simulation of two speech coders: a classical coder based on linear predictive speech coding and a coder, that's making use of overcomplete stochastic ARMA processes models. A part of their realization is to simulate their decoders and a analyze their reconstruction quality. For their realization there is used MATLAB and an overcomplete models' library (toolbox frames).
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Android app - Energy Monitor with Prediction
John, Tomáš ; Herout, Adam (referee) ; Szőke, Igor (advisor)
The thesis describes process of creation mobile application used for recording and processing data from consumption energy meters. Application targets on devices with operating system Android. The task was to study similar solutions and then design and implement own one. Enriched by the possibility of predict future energy consumption, using historical outdoor temperatures. Also bring the optional OCR (Optical Character Recognition) reading meter's values. Weather data obtain from internet weather service. And from stored data be able to make user- rendly charts and statistics showing energy consumption.
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Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam
Hrabinová, Barbora ; Sobek, Martin (referee) ; Menšík, Pavel (advisor)
The diploma thesis is focused on predictions of mean monthly flows for a purpose of control of storage functions when thinking differently positions of fictive reservoirs in the catchment area. One of the reservoir is situated in the upper part of the catchment area and the second is situated in the middle part of catchment area. Predictions are made by Support vector machine method in RStudio and with the use of R language. Predicted values of flows was evaluated by the correlation coefficient, coefficient of determination, Root mean square error and than was made the simulation of operation of storage function, which was evaluated by Total sum of squares modificated for problems of water management. In the end was made a comparison of both of the reservoirs for assessment of the suitability of the method.
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Analysis of Economic Indicators Using Statistical Methods
Rondošová, Nikola ; Menzlová, Monika (referee) ; Novotná, Veronika (advisor)
The bachelor thesis represents the financial analysis of the particular economic indicators of the OBI Centrum, spol. s r. o. company and also the analysis of the indicator’s development according to the statistical methods. The results proceed from the following financial statements – the Balance sheet and the Profit and loss statement from the period 2008-2014. They provide the basis for the own processed solutions and MS Excel programme. The theoretical part of the thesis explains the economical and statistical terms. The practical part consists of the calculations with the appropriate interpretations and graphical demonstrations. According to them, the own suggestions, which should improve the financial situation of the company are stated.
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Web Application of Shopping Park
Kitaš, Petr ; Techet, Jiří (referee) ; Lukáš, Roman (advisor)
Fisrt of all we will make up requirements on system. In the next chapters we will pay attention to concept and implementation of database, than we will describe structure, implementation and design of GUI (graphical user interface) for each part of application. At the end of this section we will describe usin of Lagrange interpolation polynom for price prediction used in product view. At least there is list of standards which were used in this application.
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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.
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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.
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