Correlation Between Arbor Technology and Amulaire Thermal
Can any of the company-specific risk be diversified away by investing in both Arbor Technology and Amulaire Thermal 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 Arbor Technology and Amulaire Thermal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arbor Technology and Amulaire Thermal Technology, you can compare the effects of market volatilities on Arbor Technology and Amulaire Thermal 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 Arbor Technology with a short position of Amulaire Thermal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arbor Technology and Amulaire Thermal.
Diversification Opportunities for Arbor Technology and Amulaire Thermal
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Arbor and Amulaire is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Arbor Technology and Amulaire Thermal Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amulaire Thermal Tec and Arbor 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 Arbor Technology are associated (or correlated) with Amulaire Thermal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amulaire Thermal Tec has no effect on the direction of Arbor Technology i.e., Arbor Technology and Amulaire Thermal go up and down completely randomly.
Pair Corralation between Arbor Technology and Amulaire Thermal
Assuming the 90 days trading horizon Arbor Technology is expected to generate 0.87 times more return on investment than Amulaire Thermal. However, Arbor Technology is 1.15 times less risky than Amulaire Thermal. It trades about 0.16 of its potential returns per unit of risk. Amulaire Thermal Technology is currently generating about -0.02 per unit of risk. If you would invest 3,925 in Arbor Technology on September 13, 2024 and sell it today you would earn a total of 925.00 from holding Arbor Technology or generate 23.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Arbor Technology vs. Amulaire Thermal Technology
Performance |
Timeline |
Arbor Technology |
Amulaire Thermal Tec |
Arbor Technology and Amulaire Thermal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arbor Technology and Amulaire Thermal
The main advantage of trading using opposite Arbor Technology and Amulaire Thermal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arbor Technology position performs unexpectedly, Amulaire Thermal 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 Amulaire Thermal will offset losses from the drop in Amulaire Thermal's long position.Arbor Technology vs. Shieh Yih Machinery | Arbor Technology vs. U Tech Media Corp | Arbor Technology vs. Gamania Digital Entertainment | Arbor Technology vs. C Media Electronics |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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