Correlation Between Great-west Loomis and Optimum Small
Can any of the company-specific risk be diversified away by investing in both Great-west Loomis and Optimum Small 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 Loomis and Optimum Small 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 Optimum Small Mid Cap, you can compare the effects of market volatilities on Great-west Loomis and Optimum Small 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 Loomis with a short position of Optimum Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great-west Loomis and Optimum Small.
Diversification Opportunities for Great-west Loomis and Optimum Small
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Great-west and Optimum is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Great West Loomis Sayles and Optimum Small Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Optimum Small Mid and Great-west Loomis 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 Optimum Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Optimum Small Mid has no effect on the direction of Great-west Loomis i.e., Great-west Loomis and Optimum Small go up and down completely randomly.
Pair Corralation between Great-west Loomis and Optimum Small
Assuming the 90 days horizon Great West Loomis Sayles is expected to under-perform the Optimum Small. In addition to that, Great-west Loomis is 1.05 times more volatile than Optimum Small Mid Cap. It trades about -0.1 of its total potential returns per unit of risk. Optimum Small Mid Cap is currently generating about -0.1 per unit of volatility. If you would invest 1,318 in Optimum Small Mid Cap on December 23, 2024 and sell it today you would lose (80.00) from holding Optimum Small Mid Cap or give up 6.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Great West Loomis Sayles vs. Optimum Small Mid Cap
Performance |
Timeline |
Great West Loomis |
Optimum Small Mid |
Great-west Loomis and Optimum Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great-west Loomis and Optimum Small
The main advantage of trading using opposite Great-west Loomis and Optimum Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great-west Loomis position performs unexpectedly, Optimum Small 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 Optimum Small will offset losses from the drop in Optimum Small's long position.Great-west Loomis vs. Mutual Of America | Great-west Loomis vs. John Hancock Funds | Great-west Loomis vs. Tiaa Cref Lifecycle Retirement | Great-west Loomis vs. American Funds Retirement |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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