Publication detail

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

JANKOVÁ, Z.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

JANKOVÁ, Z.

Released

2. 11. 2020

Publisher

Tomas Bata University of Zlin

Location

Zlin, Czech Republic

ISBN

9788074549359

Book

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

Edition

16

Edition number

1

Pages from

242

Pages to

254

Pages count

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"
}