Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.

Autor: Chen Y; Department of Accounting, Chung Yuan Christian University, Taoyuan, Taiwan., Huang P; Department of International Business, Soochow University, Taipei, Taiwan., Day MY; Graduate Institute of Information Management, National Taipei University, New Taipei, Taiwan., Ni Y; Department of Management Sciences, Tamkang University, New Taipei, Taiwan., Liang MC; Department of Banking and Finance, Tamkang University, New Taipei, Taiwan.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 May 11; Vol. 18 (5), pp. e0284918. Date of Electronic Publication: 2023 May 11 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0284918
Abstrakt: We investigate whether using various VMA trading rules would improve investment performance due to the flexibility of VMA trading rules and the aid of Heatmap Visualization. Previously, investors frequently chose the best performance derived from limited VMA trading rules. However, our new design, which can display all results using Heatmap Visualization, shows that the NASDAQ100 index outperforms the DJ30 index and that weekly data outperforms daily data when measured by annualized return. These findings may be useful to those who trade index ETFs tracking the DJ30 and NASDAQ100 indices, as well as investors making investment decisions, and may contribute to the existing literature by evaluating the outcomes of VMA trading rules and providing insights for index ETF investors using a heatmap matrix, which is rarely explored and presented in the relevant literature.
Competing Interests: The authors declare that they have no competing interests.
(Copyright: © 2023 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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