Correlation Between Getac Technology and Holy Stone
Can any of the company-specific risk be diversified away by investing in both Getac Technology and Holy Stone at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Getac Technology and Holy Stone into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getac Technology Corp and Holy Stone Enterprise, you can compare the effects of market volatilities on Getac Technology and Holy Stone and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Getac Technology with a short position of Holy Stone. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getac Technology and Holy Stone.
Diversification Opportunities for Getac Technology and Holy Stone
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Getac and Holy is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Getac Technology Corp and Holy Stone Enterprise in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Holy Stone Enterprise and Getac Technology is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Getac Technology Corp are associated (or correlated) with Holy Stone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Holy Stone Enterprise has no effect on the direction of Getac Technology i.e., Getac Technology and Holy Stone go up and down completely randomly.
Pair Corralation between Getac Technology and Holy Stone
Assuming the 90 days trading horizon Getac Technology Corp is expected to generate 3.59 times more return on investment than Holy Stone. However, Getac Technology is 3.59 times more volatile than Holy Stone Enterprise. It trades about 0.3 of its potential returns per unit of risk. Holy Stone Enterprise is currently generating about 0.09 per unit of risk. If you would invest 10,750 in Getac Technology Corp on October 25, 2024 and sell it today you would earn a total of 1,200 from holding Getac Technology Corp or generate 11.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Getac Technology Corp vs. Holy Stone Enterprise
Performance |
Timeline |
Getac Technology Corp |
Holy Stone Enterprise |
Getac Technology and Holy Stone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getac Technology and Holy Stone
The main advantage of trading using opposite Getac Technology and Holy Stone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getac Technology position performs unexpectedly, Holy Stone can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Holy Stone will offset losses from the drop in Holy Stone's long position.Getac Technology vs. Chicony Electronics Co | Getac Technology vs. Inventec Corp | Getac Technology vs. Synnex Technology International | Getac Technology vs. Micro Star International Co |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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