03057ntm a22004937i 4500 000715969 CZ-PrVSE 20240914152213.0 m d cr n|||||||||| 240914s2024 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Brejcha, Jindřich ISIS:133536 dis Tržní ocenění společnosti pomocí umělé neuronové sítě (ANN) eng Predicting company market values using artificial neural network (ANN) modelling / Jindřich Brejcha 2024 ?? stran : digital, PDF soubor Vedoucí práce: Jiří Witzany Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta financí a účetnictví, 2024 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2024 This master thesis focuses on the valuation of companies using a neural network. Its aim is to find an alternative valuation method that could complement classical methods. The final dataset was split into two parts in order to test the model on data that the model did not have the opportunity to observe. The target variable was chosen to be the capitalization of the company in May of the following year in order to build the model on data that corresponds to potential real use. At the end of the paper, the neural network is also compared with lasso regression, which has the function of a benchmark. The theoretical part of the thesis includes a literature review on company valuation and also describes the neural network architecture. The practical part describes the whole process of this project (data collection, data transformation and modelling). The results show that although the neural network achieves better results than lasso regression, its current performance is not yet sufficient. At the end of the paper, steps that could lead to better results are also suggested. Způsob přístupu: Internet finanční inženýrství [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Neural network Company valuation Machine learning Witzany, Jiří, 1966- vse2007429830 ths Drahokoupil, Matěj ISIS:119458 opn Vysoká škola ekonomická v Praze. Fakulta financí a účetnictví kn20010709398 dgg https://insis.vse.cz/zp/84664/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/84664 Hlavní práce https://insis.vse.cz/zp/84664/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/84664/posudek/oponent/83015 Oponentura https://insis.vse.cz/zp/84664/podrobnosti dc:identifier NEPOSILAT VSKP vse84664 240905 84664