Correlation Between Amg Managers and Capital World
Can any of the company-specific risk be diversified away by investing in both Amg Managers and Capital World 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 Capital World 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 Capital World Growth, you can compare the effects of market volatilities on Amg Managers and Capital World 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 Capital World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Managers and Capital World.
Diversification Opportunities for Amg Managers and Capital World
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Amg and Capital is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Amg Managers Centersquare and Capital World Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capital World Growth 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 Capital World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capital World Growth has no effect on the direction of Amg Managers i.e., Amg Managers and Capital World go up and down completely randomly.
Pair Corralation between Amg Managers and Capital World
Assuming the 90 days horizon Amg Managers Centersquare is expected to generate 1.19 times more return on investment than Capital World. However, Amg Managers is 1.19 times more volatile than Capital World Growth. It trades about 0.04 of its potential returns per unit of risk. Capital World Growth is currently generating about 0.05 per unit of risk. If you would invest 1,131 in Amg Managers Centersquare on December 20, 2024 and sell it today you would earn a total of 28.00 from holding Amg Managers Centersquare or generate 2.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Amg Managers Centersquare vs. Capital World Growth
Performance |
Timeline |
Amg Managers Centersquare |
Capital World Growth |
Amg Managers and Capital World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Managers and Capital World
The main advantage of trading using opposite Amg Managers and Capital World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Managers position performs unexpectedly, Capital World 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 Capital World will offset losses from the drop in Capital World's long position.Amg Managers vs. Transamerica Emerging Markets | Amg Managers vs. Pimco Emerging Local | Amg Managers vs. Embark Commodity Strategy | Amg Managers vs. Eagle Mlp Strategy |
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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