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Measurement and forecasting of tax revenues
Bayer, Ondřej ; Vítek, Leoš (advisor) ; Pavel, Jan (referee)
This work is aimed on measurement and forecasting of tax revenues. The target is to explain issue of tax revenues measurement by other ways and after that to create forecasting models of tax revenues since 2001 to 2011. For achieving this target is used literature and economethric modeling methodology. At first is analyzed difference between acrual and cash methods of tax revenue's measurement from the view of different methodologies. After that econometric models are created for each of the choosen tax revenues. These models are analyzed for the quality of forecasting. From the results is clear, that tax revenues have a part, which could be described by macroeconomic variables. But these models reveals, that part of the tax revenue could be described by autonomous or random component. Models themselves could be affected by failure of elemental econometrics assumptions.
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Business Intelligence analysis of pharmacy Alfa in the city of Nymburk and analysis of trends in sales of over-the-counter medicine.
Vítek, Pavel ; Novotný, Ota (advisor) ; Červinková, Miroslava (referee)
This thesis deals with the theme of business analysis of real company -- pharmacy, running a business in market environment of the city of Nymburk. Main focus is on research of actual position of the pharmacy in the local market in context of a new competitor entering the market. The whole thesis is divided into two consistent parts: The first part is a short theoretical introduction to the methods used and general background of the market in the city of Nymburk. The following practical part analyzes business of the company and development of sales of over-the-counter medicine in context of a new competitor entering the market in the period examined for the purpose of this thesis. Methods applied to achieve the the main goals of the thesis are following: the SWOT analysis method, which is used to discover the strengths and weaknesses of the company itself and to define threats and opportunities, based on the market environment. The subsequent method used within research is Balanced Scorecard method which is used to design the Key Performance Indicators for measuring and observing the company's performance and development. Finally data mining methods of shopping basket, segmentation and forecasting were used to analyse trends in over-the-counter medicine sales. All these methods are keystones for formulation of a basic concept for future strategical and tactical decisions.
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Simulation predictions of the Czech economy
Vejdělková, Dita ; Hušek, Roman (advisor) ; Formánek, Tomáš (referee)
The thesis is composed of three main parts. The first part is theoretical and I deal here with economic relationships between macroeconomic magnitudes. Second part dedicated to the econometric theory of prognosis follows, in which I deal with different types of prognoses and prediction methods used at present. In the third, practical, part my intended aim is to create the best possible models of relations between fundamental macroeconomic magnitudes, using real Czech economy data, and to make simulation predictions of these magnitudes based on acquired models while utilising scenario analysis. First, I deal with choice of MSE and VAR models. Then follows the estimate of particular models and validation of prognostic capabilities of particular models for static and dynamic simulation. I conclude with elaboration of macroeconomic magnitudes prognosis while using scenario analysis.
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