Correlation Between Loomis Sayles and Allianzgi Health
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Allianzgi 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 Loomis Sayles and Allianzgi Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Senior and Allianzgi Health Sciences, you can compare the effects of market volatilities on Loomis Sayles and Allianzgi 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 Loomis Sayles with a short position of Allianzgi Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Allianzgi Health.
Diversification Opportunities for Loomis Sayles and Allianzgi Health
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Loomis and Allianzgi is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Senior and Allianzgi Health Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Allianzgi Health Sciences and Loomis Sayles 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 Loomis Sayles Senior are associated (or correlated) with Allianzgi Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Allianzgi Health Sciences has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Allianzgi Health go up and down completely randomly.
Pair Corralation between Loomis Sayles and Allianzgi Health
Assuming the 90 days horizon Loomis Sayles Senior is expected to generate 0.23 times more return on investment than Allianzgi Health. However, Loomis Sayles Senior is 4.35 times less risky than Allianzgi Health. It trades about -0.2 of its potential returns per unit of risk. Allianzgi Health Sciences is currently generating about -0.19 per unit of risk. If you would invest 826.00 in Loomis Sayles Senior on September 23, 2024 and sell it today you would lose (6.00) from holding Loomis Sayles Senior or give up 0.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Senior vs. Allianzgi Health Sciences
Performance |
Timeline |
Loomis Sayles Senior |
Allianzgi Health Sciences |
Loomis Sayles and Allianzgi Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Allianzgi Health
The main advantage of trading using opposite Loomis Sayles and Allianzgi Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Allianzgi 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 Allianzgi Health will offset losses from the drop in Allianzgi Health's long position.Loomis Sayles vs. Allianzgi Health Sciences | Loomis Sayles vs. Tekla Healthcare Opportunities | Loomis Sayles vs. Blackrock Health Sciences | Loomis Sayles vs. Alger Health Sciences |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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