RESUMO
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.
RESUMO
The relaxation of day trading restrictions in Taiwan at the start of 2016 resulted in a significant increase in day trading volume, which piqued our interest in researching the impact and profitability of day trading, expected (unexpected) day trading, and day trading at high (low) levels of VIX using time series models, with the following key findings. First, we show that a high market trading volume triggers a high day trading volume resulting from liquidity markets that day traders prefer, but a high day trading volume does not trigger a high market trading volume resulting from speculative markets that other market participants don't prefer. Second, contrary to our perception, while the VIX index rises, day trading would be more profitable after the relaxation. We infer that a high VIX index may be accompanied by a volatile market, which may generate profits by widening the intraday spread of a day-tradable stock. Third, as compared with unexpected market trading volume, we reveal that unexpected day trading volume may be more unexpected than market trading volume, being more likely to enhance market volatility and stock returns. These impressive and interesting findings may not be disclosed before the relaxation, which may contribute to the existing literature.