Correlation Between Amg Managers and Franklin Lifesmart
Can any of the company-specific risk be diversified away by investing in both Amg Managers and Franklin Lifesmart 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 Amg Managers and Franklin Lifesmart into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amg Managers Centersquare and Franklin Lifesmart Retirement, you can compare the effects of market volatilities on Amg Managers and Franklin Lifesmart 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 Amg Managers with a short position of Franklin Lifesmart. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Managers and Franklin Lifesmart.
Diversification Opportunities for Amg Managers and Franklin Lifesmart
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Amg and Franklin is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Amg Managers Centersquare and Franklin Lifesmart Retirement in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Lifesmart and Amg Managers 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 Amg Managers Centersquare are associated (or correlated) with Franklin Lifesmart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Lifesmart has no effect on the direction of Amg Managers i.e., Amg Managers and Franklin Lifesmart go up and down completely randomly.
Pair Corralation between Amg Managers and Franklin Lifesmart
Assuming the 90 days horizon Amg Managers Centersquare is expected to under-perform the Franklin Lifesmart. In addition to that, Amg Managers is 3.24 times more volatile than Franklin Lifesmart Retirement. It trades about -0.08 of its total potential returns per unit of risk. Franklin Lifesmart Retirement is currently generating about 0.02 per unit of volatility. If you would invest 1,057 in Franklin Lifesmart Retirement on September 15, 2024 and sell it today you would earn a total of 4.00 from holding Franklin Lifesmart Retirement or generate 0.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amg Managers Centersquare vs. Franklin Lifesmart Retirement
Performance |
Timeline |
Amg Managers Centersquare |
Franklin Lifesmart |
Amg Managers and Franklin Lifesmart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Managers and Franklin Lifesmart
The main advantage of trading using opposite Amg Managers and Franklin Lifesmart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Managers position performs unexpectedly, Franklin Lifesmart 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 Franklin Lifesmart will offset losses from the drop in Franklin Lifesmart's long position.Amg Managers vs. Metropolitan West High | Amg Managers vs. Lgm Risk Managed | Amg Managers vs. California High Yield Municipal | Amg Managers vs. Needham Aggressive Growth |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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