Stock price development forecasting using neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F17%3A00001380" target="_blank" >RIV/75081431:_____/17:00001380 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1051/shsconf/20173901032" target="_blank" >http://dx.doi.org/10.1051/shsconf/20173901032</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/shsconf/20173901032" target="_blank" >10.1051/shsconf/20173901032</a>

Result language
angličtina
Original language name
Stock price development forecasting using neural networks
Original language description
The objective of this contribution is to use neural networks for forecasting the development of the ČEZ, a. s. stock prices on the Prague Stock Exchange for the next 62 trading days. The data for the forecast have been obtained from the Prague Stock Exchange database. These are final prices at the end of each trading day when the company shares were traded, starting from the beginning of the year 2012 till September 2017.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade
ISBN
9782759890286
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
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Publisher name
EDP Sciences
Place of publication
Les Ulis, France
Event location
České Budějovice, Czech Republic.
Event date
Oct 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000452181300032

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