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

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, w...

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Main Authors: Yuhsin Chen, Paoyu Huang, Min-Yuh Day, Yensen Ni, Mei-Chu Liang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0284918
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author Yuhsin Chen
Paoyu Huang
Min-Yuh Day
Yensen Ni
Mei-Chu Liang
author_facet Yuhsin Chen
Paoyu Huang
Min-Yuh Day
Yensen Ni
Mei-Chu Liang
author_sort Yuhsin Chen
collection DOAJ
description 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.
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spelling doaj.art-bb658619b2264e008b034459f236b99c2023-05-27T05:31:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01185e028491810.1371/journal.pone.0284918Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.Yuhsin ChenPaoyu HuangMin-Yuh DayYensen NiMei-Chu LiangWe 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.https://doi.org/10.1371/journal.pone.0284918
spellingShingle Yuhsin Chen
Paoyu Huang
Min-Yuh Day
Yensen Ni
Mei-Chu Liang
Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.
PLoS ONE
title Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.
title_full Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.
title_fullStr Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.
title_full_unstemmed Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.
title_short Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules.
title_sort using heatmap visualization to assess the performance of the dj30 and nasdaq100 indices under diverse vma trading rules
url https://doi.org/10.1371/journal.pone.0284918
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