Correlation Between Aeorema Communications and SM Energy
Can any of the company-specific risk be diversified away by investing in both Aeorema Communications and SM Energy 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 Aeorema Communications and SM Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aeorema Communications Plc and SM Energy Co, you can compare the effects of market volatilities on Aeorema Communications and SM Energy 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 Aeorema Communications with a short position of SM Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aeorema Communications and SM Energy.
Diversification Opportunities for Aeorema Communications and SM Energy
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Aeorema and 0KZA is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Aeorema Communications Plc and SM Energy Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SM Energy and Aeorema Communications 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 Aeorema Communications Plc are associated (or correlated) with SM Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SM Energy has no effect on the direction of Aeorema Communications i.e., Aeorema Communications and SM Energy go up and down completely randomly.
Pair Corralation between Aeorema Communications and SM Energy
Assuming the 90 days trading horizon Aeorema Communications Plc is expected to under-perform the SM Energy. In addition to that, Aeorema Communications is 1.23 times more volatile than SM Energy Co. It trades about -0.21 of its total potential returns per unit of risk. SM Energy Co is currently generating about 0.05 per unit of volatility. If you would invest 4,132 in SM Energy Co on October 10, 2024 and sell it today you would earn a total of 67.00 from holding SM Energy Co or generate 1.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Aeorema Communications Plc vs. SM Energy Co
Performance |
Timeline |
Aeorema Communications |
SM Energy |
Aeorema Communications and SM Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aeorema Communications and SM Energy
The main advantage of trading using opposite Aeorema Communications and SM Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aeorema Communications position performs unexpectedly, SM Energy 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 SM Energy will offset losses from the drop in SM Energy's long position.Aeorema Communications vs. Flutter Entertainment PLC | Aeorema Communications vs. Grand Vision Media | Aeorema Communications vs. Dentsply Sirona | Aeorema Communications vs. Seche Environnement SA |
SM Energy vs. Edinburgh Investment Trust | SM Energy vs. Empire Metals Limited | SM Energy vs. FC Investment Trust | SM Energy vs. Golden Metal Resources |
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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