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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F20%3APU137642" target="_blank" >RIV/00216305:26510/20:PU137642 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.7441/dokbat.2020.21" target="_blank" >http://dx.doi.org/10.7441/dokbat.2020.21</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7441/dokbat.2020.21" target="_blank" >10.7441/dokbat.2020.21</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50206 - Finance

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

9788074549359

ISSN

—

e-ISSN

—

Počet stran výsledku

14

Strana od-do

242-254

Název nakladatele

Tomas Bata University of Zlin

Místo vydání

Zlin, Czech Republic

Místo konání akce

Zlín

Datum konání akce

6. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—