Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis
This article aims to contribute to the academic knowledge in the field of scientific production regarding decision support tools for investments in the capital market, specifically focusing on fundamental analysis, technical analysis, and Ichimoku dynamics. Bibliometric analysis, following the three...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Risks |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9091/11/8/142 |
_version_ | 1797583291821326336 |
---|---|
author | Luís Almeida Elisabete Vieira |
author_facet | Luís Almeida Elisabete Vieira |
author_sort | Luís Almeida |
collection | DOAJ |
description | This article aims to contribute to the academic knowledge in the field of scientific production regarding decision support tools for investments in the capital market, specifically focusing on fundamental analysis, technical analysis, and Ichimoku dynamics. Bibliometric analysis, following the three main laws (Bradford’s Law, Lotka’s Law, and Zipf’s Law), was employed to evaluate scientific production, identify publication patterns, and uncover gaps and collaboration networks over the last thirty years. To achieve these objectives, 1710 relevant academic publications on the topic were analyzed and retrieved from the Web of Science (WOS) database, pertaining to the last 30 years, between 1990 and 22 May 2023. The significance of this article lies in the contributions of the findings, which advance scientific knowledge by identifying gaps in the knowledge and research, particularly in the limited literature on Ichimoku; our review reveals a growing trend of research in this area. Another notable conclusion is the emergence of new research topics and areas of interest, as well as the identification of collaboration networks among authors, institutions, and countries. Moreover, the article provides valuable insights for financial professionals and investors who are interested in applying these methodologies as methods for price forecasting. The highlighted results support investment decision making, trading strategies, and portfolio management. |
first_indexed | 2024-03-10T23:36:51Z |
format | Article |
id | doaj.art-a1eebc8c4895416d928cd6aabb06de77 |
institution | Directory Open Access Journal |
issn | 2227-9091 |
language | English |
last_indexed | 2024-03-10T23:36:51Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Risks |
spelling | doaj.art-a1eebc8c4895416d928cd6aabb06de772023-11-19T02:54:59ZengMDPI AGRisks2227-90912023-08-0111814210.3390/risks11080142Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric AnalysisLuís Almeida0Elisabete Vieira1GOVCOPP Unit Research, ISCA—Aveiro University, 3810-193 Aveiro, PortugalGOVCOPP Unit Research, ISCA—Aveiro University, 3810-193 Aveiro, PortugalThis article aims to contribute to the academic knowledge in the field of scientific production regarding decision support tools for investments in the capital market, specifically focusing on fundamental analysis, technical analysis, and Ichimoku dynamics. Bibliometric analysis, following the three main laws (Bradford’s Law, Lotka’s Law, and Zipf’s Law), was employed to evaluate scientific production, identify publication patterns, and uncover gaps and collaboration networks over the last thirty years. To achieve these objectives, 1710 relevant academic publications on the topic were analyzed and retrieved from the Web of Science (WOS) database, pertaining to the last 30 years, between 1990 and 22 May 2023. The significance of this article lies in the contributions of the findings, which advance scientific knowledge by identifying gaps in the knowledge and research, particularly in the limited literature on Ichimoku; our review reveals a growing trend of research in this area. Another notable conclusion is the emergence of new research topics and areas of interest, as well as the identification of collaboration networks among authors, institutions, and countries. Moreover, the article provides valuable insights for financial professionals and investors who are interested in applying these methodologies as methods for price forecasting. The highlighted results support investment decision making, trading strategies, and portfolio management.https://www.mdpi.com/2227-9091/11/8/142technical analysisfundamental analysisIchimokuBradford’s LawLotka’s Law |
spellingShingle | Luís Almeida Elisabete Vieira Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis Risks technical analysis fundamental analysis Ichimoku Bradford’s Law Lotka’s Law |
title | Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis |
title_full | Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis |
title_fullStr | Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis |
title_full_unstemmed | Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis |
title_short | Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis |
title_sort | technical analysis fundamental analysis and ichimoku dynamics a bibliometric analysis |
topic | technical analysis fundamental analysis Ichimoku Bradford’s Law Lotka’s Law |
url | https://www.mdpi.com/2227-9091/11/8/142 |
work_keys_str_mv | AT luisalmeida technicalanalysisfundamentalanalysisandichimokudynamicsabibliometricanalysis AT elisabetevieira technicalanalysisfundamentalanalysisandichimokudynamicsabibliometricanalysis |