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Detail publikačního výsledku
JANKOVÁ, Z.
Originální název
Application of Artificial Neural Networks and Fuzzy Logic in Stock Trading
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
The paper discusses the design of a neuro-fuzzy model for decision-making support in free money investment in investment instruments listed on the stock exchange in the Czech Republic. Basic financial indicators, such as return, risk, P/E ratio and EPS have been used for this purpose. Based on the obtained results, it can be stated that the proposed ANFIS model is a suitable tool, in particular for modelling complex and non-linear problems. A neuro-fuzzy model behaves more naturally than other statistical tools, which simulates the decision-making process in stock trading, without increasing the risk in the form of investor's subjective judgment.
Anglický abstrakt
Klíčová slova
fuzzy logic; artificial neural networks; stock market; stock trading; soft computing; Czech stock market; ANFIS
Klíčová slova v angličtině
Autoři
Rok RIV
2020
Vydáno
11.04.2019
Nakladatel
IBIMA
Místo
Granada, Spain
ISBN
978-0-9998551-2-6
Kniha
Proceedings of the 33rd International Business Information Management Association Conference (IBIMA)
Strany od
2610
Strany do
2619
Strany počet
10
BibTex
@inproceedings{BUT157197, author="Zuzana {Janková}", title="Application of Artificial Neural Networks and Fuzzy Logic in Stock Trading", booktitle="Proceedings of the 33rd International Business Information Management Association Conference (IBIMA)", year="2019", pages="2610--2619", publisher="IBIMA", address="Granada, Spain", isbn="978-0-9998551-2-6" }