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Application of artificial intelligence model in financial markets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F20%3APU138236" target="_blank" >RIV/00216305:26510/20:PU138236 - isvavai.cz</a>

  • Result on the web

    <a href="https://ei.fhi.sk/index.php/EAI/article/view/202" target="_blank" >https://ei.fhi.sk/index.php/EAI/article/view/202</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of artificial intelligence model in financial markets

  • Original language description

    This paper deals with the application of artificial intelligence model in financial markets. Specifically, a hybrid model based on fuzzy logic and artificial neural networks is chosen. The neuro-fuzzy model is then applied to the stock Exchange Traded Funds on the American and European stock markets. Based on four input variables and five attributes, the basis of rules is determined by neural networks. The amount of rules is then reduced by fuzzy clustering. The output is a model serving to support the decision-making for the investor whether or not to invest in the stocks of Exchange Traded Funds.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ekonomika a informatika

  • ISSN

    1336-3514

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    8

  • Pages from-to

    67-74

  • UT code for WoS article

  • EID of the result in the Scopus database