Correlation Between Alger Health and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Alger Health and Segall Bryant 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 Alger Health and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alger Health Sciences and Segall Bryant Hamill, you can compare the effects of market volatilities on Alger Health and Segall Bryant 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 Alger Health with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alger Health and Segall Bryant.
Diversification Opportunities for Alger Health and Segall Bryant
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Alger and Segall is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Alger Health Sciences and Segall Bryant Hamill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamill and Alger Health 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 Alger Health Sciences are associated (or correlated) with Segall Bryant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Segall Bryant Hamill has no effect on the direction of Alger Health i.e., Alger Health and Segall Bryant go up and down completely randomly.
Pair Corralation between Alger Health and Segall Bryant
Assuming the 90 days horizon Alger Health Sciences is expected to under-perform the Segall Bryant. But the mutual fund apears to be less risky and, when comparing its historical volatility, Alger Health Sciences is 1.07 times less risky than Segall Bryant. The mutual fund trades about -0.15 of its potential returns per unit of risk. The Segall Bryant Hamill is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 1,476 in Segall Bryant Hamill on December 28, 2024 and sell it today you would lose (83.00) from holding Segall Bryant Hamill or give up 5.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Alger Health Sciences vs. Segall Bryant Hamill
Performance |
Timeline |
Alger Health Sciences |
Segall Bryant Hamill |
Alger Health and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alger Health and Segall Bryant
The main advantage of trading using opposite Alger Health and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alger Health position performs unexpectedly, Segall Bryant 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 Segall Bryant will offset losses from the drop in Segall Bryant's long position.Alger Health vs. Barings High Yield | Alger Health vs. Pace High Yield | Alger Health vs. Virtus High Yield | Alger Health vs. Msift High Yield |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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