Prediction of European Stock Indexes Using Neuro-fuzzy Technique

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F20%3APU136740" target="_blank" >RIV/00216305:26510/20:PU136740 - isvavai.cz</a>
Výsledek na webu
<a href="https://trends.fbm.vutbr.cz/index.php/trends/article/view/trends.2020.35.45" target="_blank" >https://trends.fbm.vutbr.cz/index.php/trends/article/view/trends.2020.35.45</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/trends.2020.35.45" target="_blank" >10.13164/trends.2020.35.45</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Prediction of European Stock Indexes Using Neuro-fuzzy Technique
Popis výsledku v původním jazyce
The paper is focused on the forecast of stock markets of the Central European countries, known as V4, by means of soft computing. The tested model is constructed by a combination of fuzzy logic and artificial neural networks. A total of four SAX, PX, BUX, WIG stock indices differing in their liquidity and efficiency are selected for the forecast. The paper discussed the design of the neuro-fuzzy model as a supporting tool for predicting the selected stock indexes listed on the European stock markets.
Název v anglickém jazyce
Prediction of European Stock Indexes Using Neuro-fuzzy Technique
Popis výsledku anglicky
The paper is focused on the forecast of stock markets of the Central European countries, known as V4, by means of soft computing. The tested model is constructed by a combination of fuzzy logic and artificial neural networks. A total of four SAX, PX, BUX, WIG stock indices differing in their liquidity and efficiency are selected for the forecast. The paper discussed the design of the neuro-fuzzy model as a supporting tool for predicting the selected stock indexes listed on the European stock markets.

Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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