Other formats:
BibTeX
LaTeX
RIS
@article{54661, author = {Šuleř, Petr and Horák, Jakub and Krulický, Tomáš}, article_location = {České Budějovice}, article_number = {1}, keywords = {artificial neural networks; prediction; stock prices; time series; Czech Republic}, language = {eng}, issn = {1805-9112}, journal = {Littera Scripta}, title = {Validation of the prediction of ČEZ stock prices}, volume = {13}, year = {2020} }
TY - JOUR ID - 54661 AU - Šuleř, Petr - Horák, Jakub - Krulický, Tomáš PY - 2020 TI - Validation of the prediction of ČEZ stock prices JF - Littera Scripta VL - 13 IS - 1 SP - 194-210 EP - 194-210 PB - The Institute of Technology and Business in České Budějovice SN - 18059112 KW - artificial neural networks KW - prediction KW - stock prices KW - time series KW - Czech Republic N2 - The aim of this paper iis paper aims to verify the prediction of the stock prices of ČEZ, a. s. on the Prague Stock Exchange. The main goal is decomposed into two sub-goals: evaluate the accuracy of the prediction using neural networks on stock price data that followed the time series used to calculate neural networks in the contribution of Vrbka and Rowland (2017) and generate new neural structures. ER -
ŠULEŘ, Petr, Jakub HORÁK and Tomáš KRULICKÝ. Validation of the prediction of ČEZ stock prices. \textit{Littera Scripta}. České Budějovice: The Institute of Technology and Business in České Budějovice, vol.~13, No~1, p.~194-210. ISSN~1805-9112. 2020.
|