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Price Prediction Using Machine Learning Methods on the European Market of Used Cars
Dvořáček, Petr ; Baruník, Jozef (advisor) ; Vácha, Lukáš (referee)
This master's thesis proposes accurate predictions of the prices of used cars. It builds its fundamentals on the available research and broadens the academic literature by applying several modern techniques to the European market. Us- ing machine learning models and unique data, high accuracy of predictions was obtained. The precise prediction of the residual value of a used car might benefit both the buyers and the sellers, and also reduce market inefficiencies. We are not aware of any similar work in the particular field focusing on the European market. An application programming interface (API) was exploited in order to col- lect the data. Therefore, a large set of data consisting of 221,704 used car classifieds was gathered and used in various models (MLR, PCR, LASSO, De- cision Tree, Random Forests, and ANNs). This study aims to find the most precise model for estimating the prices of used cars with the help of several performance statistics (R2, RMSE, and MAE). We support the available lit- erature as the random forest approach provided the highest accuracy when predicting the used car prices. A model using ANNs seemed to be the second best in terms of predictive performances, however, required comparably much more computing power. The effects of various attributes of used vehicles on their...
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Investing in pharmaceutical companies from the perspective of a long-term investor
PŘÍPLATA, Milan
The main aim of this master thesis is to determine the prediction of the market value of shares and to compile an investment recommendation for a long-term private investor based on a technical and fundamental analysis of the shares of selected companies from the pharmaceutical industry. In the sense of technical analysis, the graph was worked with the help of trend, price and volume indicators and other metrics such as graph formations or trend analysis. In the sense of fundamental analysis, an analysis of the macroeconomic environment was carried out, then an analysis of the pharmaceutical industry sector was carried out, and last but not least, a financial analysis was carried out at the enterprise level of the selected companies. As a supplement to the work, an interview was conducted with a practitioner on the subject of technical and fundamental analysis.
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Analysis of the crude oil price trend
Matoušek, Tomáš ; Čechura, Lukáš (advisor) ; Romana, Romana (referee)
This bachelor thesis is focused on analysis of the price trend on crude oil WTI and crude oil Brent in last 30 years. This thesis aims to clarify important price changes of crude oil and to find out the main circumstances, which caused them, eventually how the factors affected the changes both in positive or negative way. Then determine the price prediction of both crude oil markets. Necessary information are tested by analysis tools used on time series, which are used to evaluate the price development of crude oil and the factors that affect the price trend. Thesis is divided into two main chapters. The first one is devoted to theoretical investigation. The second is practical, which is divided into three subchapters. Theoretical part summarizes main factors affecting the price development of crude oil such are war conflicts, natural influences and others. The first subchapter of practical part mutually compares the price trend of crude oil Brent and WTI. In following subchapter are individually researched significant events that caused the changes of crude oil price in already mentioned period. Last subchapter pays attention on prediction of price trend on both markets. The resulting survey shows up significant mutual dependence between both markets.
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