Department of Accounting, Chung Yuan Christian University, Taoyuan, Taiwan.
Department of International Business, Soochow University, Taipei, Taiwan.
PLoS One. 2023 May 11;18(5):e0284918. doi: 10.1371/journal.pone.0284918. eCollection 2023.
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.
我们研究了使用各种 VMA 交易规则是否会因 VMA 交易规则的灵活性和 Heatmap 可视化的辅助而提高投资业绩。此前，投资者经常根据有限的 VMA 交易规则选择表现最好的规则。然而，我们的新设计可以使用 Heatmap 可视化显示所有结果，表明纳斯达克 100 指数的年化回报率优于道琼斯 30 指数，周数据的表现优于日数据。这些发现可能对那些交易追踪道琼斯 30 指数和纳斯达克 100 指数的指数 ETF 的人、做出投资决策的投资者以及评估 VMA 交易规则的结果并使用热图矩阵为指数 ETF 投资者提供见解的文献有帮助，因为在相关文献中很少探索和呈现热图矩阵。
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