Correlation Between EGF Theramed and Evolent Health
Can any of the company-specific risk be diversified away by investing in both EGF Theramed and Evolent Health 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 EGF Theramed and Evolent Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EGF Theramed Health and Evolent Health, you can compare the effects of market volatilities on EGF Theramed and Evolent Health 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 EGF Theramed with a short position of Evolent Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of EGF Theramed and Evolent Health.
Diversification Opportunities for EGF Theramed and Evolent Health
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between EGF and Evolent is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding EGF Theramed Health and Evolent Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Evolent Health and EGF Theramed 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 EGF Theramed Health are associated (or correlated) with Evolent Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Evolent Health has no effect on the direction of EGF Theramed i.e., EGF Theramed and Evolent Health go up and down completely randomly.
Pair Corralation between EGF Theramed and Evolent Health
Assuming the 90 days horizon EGF Theramed Health is expected to generate 12.04 times more return on investment than Evolent Health. However, EGF Theramed is 12.04 times more volatile than Evolent Health. It trades about 0.14 of its potential returns per unit of risk. Evolent Health is currently generating about -0.17 per unit of risk. If you would invest 9.50 in EGF Theramed Health on September 12, 2024 and sell it today you would earn a total of 12.50 from holding EGF Theramed Health or generate 131.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
EGF Theramed Health vs. Evolent Health
Performance |
Timeline |
EGF Theramed Health |
Evolent Health |
EGF Theramed and Evolent Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EGF Theramed and Evolent Health
The main advantage of trading using opposite EGF Theramed and Evolent Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EGF Theramed position performs unexpectedly, Evolent Health 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 Evolent Health will offset losses from the drop in Evolent Health's long position.EGF Theramed vs. Veeva Systems Class | EGF Theramed vs. GE HealthCare Technologies | EGF Theramed vs. M3 Inc | EGF Theramed vs. Solventum Corp |
Evolent Health vs. National Research Corp | Evolent Health vs. Simulations Plus | Evolent Health vs. Privia Health Group | Evolent Health vs. HealthStream |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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