Correlation Between Great West and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Great West and Amg Managers 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 Great West and Amg Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great West Loomis Sayles and Amg Managers Centersquare, you can compare the effects of market volatilities on Great West and Amg Managers 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 Great West with a short position of Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great West and Amg Managers.
Diversification Opportunities for Great West and Amg Managers
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Great and Amg is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Great West Loomis Sayles and Amg Managers Centersquare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Centersquare and Great West 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 Great West Loomis Sayles are associated (or correlated) with Amg Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Managers Centersquare has no effect on the direction of Great West i.e., Great West and Amg Managers go up and down completely randomly.
Pair Corralation between Great West and Amg Managers
Assuming the 90 days horizon Great West Loomis Sayles is expected to generate 1.32 times more return on investment than Amg Managers. However, Great West is 1.32 times more volatile than Amg Managers Centersquare. It trades about 0.05 of its potential returns per unit of risk. Amg Managers Centersquare is currently generating about -0.08 per unit of risk. If you would invest 4,021 in Great West Loomis Sayles on September 18, 2024 and sell it today you would earn a total of 35.00 from holding Great West Loomis Sayles or generate 0.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Great West Loomis Sayles vs. Amg Managers Centersquare
Performance |
Timeline |
Great West Loomis |
Amg Managers Centersquare |
Great West and Amg Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great West and Amg Managers
The main advantage of trading using opposite Great West and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great West position performs unexpectedly, Amg Managers 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 Amg Managers will offset losses from the drop in Amg Managers' long position.Great West vs. Great West Securefoundation Balanced | Great West vs. Great West Lifetime 2020 | Great West vs. Great West Lifetime 2020 | Great West vs. Great West Lifetime 2020 |
Amg Managers vs. Great West Loomis Sayles | Amg Managers vs. Victory Rs Partners | Amg Managers vs. Northern Small Cap | Amg Managers vs. Lord Abbett Small |
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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