Detail publikace

Literature Review of Fundamental and Technical Indicators Prediction of Financial Market Using Artificial Intelligence Technique

JANKOVÁ, Z.

Originální název

Literature Review of Fundamental and Technical Indicators Prediction of Financial Market Using Artificial Intelligence Technique

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The stock market plays a key role in national economies. The goal of every investor is to maximize the return and minimize the risk arising from the investment. As a result, many studies have been conducted to predict stock market developments using indicators derived from classical stock market analyzes - fundamental and technical through methods and means of artificial intelligence and others. This study attempted to conduct a systematic and critical literature review of 40 articles and contributions from relevant research and scientific papers indexed in world databases. The results revealed the most common fundamental and technical indicators that serve as inputs to artificial intelligence models with a focus on fuzzy logic, neural networks or hybrid models.

Klíčová slova

artificial intelligence; fuzzy logic; fundamental analysis; hybrid system; neural networks; stock market; technical analysis

Autoři

JANKOVÁ, Z.

Vydáno

2. 11. 2020

Nakladatel

Tomas Bata University of Zlin

Místo

Zlin, Czech Republic

ISBN

9788074549359

Kniha

Conference Proceedings DOKBAT 16th Annual International Bata Conference for Ph.D. Students and Young Researchers

Edice

16

Číslo edice

1

Strany od

242

Strany do

254

Strany počet

14

BibTex

@inproceedings{BUT165801,
  author="Zuzana {Janková}",
  title="Literature Review of Fundamental and Technical Indicators Prediction of Financial Market Using Artificial Intelligence Technique",
  booktitle="Conference Proceedings DOKBAT 16th Annual International Bata Conference for Ph.D. Students and Young Researchers",
  year="2020",
  series="16",
  number="1",
  pages="242--254",
  publisher="Tomas Bata University of Zlin",
  address="Zlin, Czech Republic",
  doi="10.7441/dokbat.2020.21",
  isbn="9788074549359"
}