Correlation Between Fidelity Flex and Guidepath(r) Growth
Can any of the company-specific risk be diversified away by investing in both Fidelity Flex and Guidepath(r) Growth 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 Fidelity Flex and Guidepath(r) Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Flex Servative and Guidepath Growth Allocation, you can compare the effects of market volatilities on Fidelity Flex and Guidepath(r) Growth 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 Fidelity Flex with a short position of Guidepath(r) Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Flex and Guidepath(r) Growth.
Diversification Opportunities for Fidelity Flex and Guidepath(r) Growth
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Fidelity and Guidepath(r) is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Flex Servative and Guidepath Growth Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidepath Growth All and Fidelity Flex 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 Fidelity Flex Servative are associated (or correlated) with Guidepath(r) Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidepath Growth All has no effect on the direction of Fidelity Flex i.e., Fidelity Flex and Guidepath(r) Growth go up and down completely randomly.
Pair Corralation between Fidelity Flex and Guidepath(r) Growth
Assuming the 90 days horizon Fidelity Flex is expected to generate 7.98 times less return on investment than Guidepath(r) Growth. But when comparing it to its historical volatility, Fidelity Flex Servative is 10.03 times less risky than Guidepath(r) Growth. It trades about 0.27 of its potential returns per unit of risk. Guidepath Growth Allocation is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 1,802 in Guidepath Growth Allocation on May 12, 2025 and sell it today you would earn a total of 163.00 from holding Guidepath Growth Allocation or generate 9.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Flex Servative vs. Guidepath Growth Allocation
Performance |
Timeline |
Fidelity Flex Servative |
Guidepath Growth All |
Fidelity Flex and Guidepath(r) Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Flex and Guidepath(r) Growth
The main advantage of trading using opposite Fidelity Flex and Guidepath(r) Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Flex position performs unexpectedly, Guidepath(r) Growth 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 Guidepath(r) Growth will offset losses from the drop in Guidepath(r) Growth's long position.Fidelity Flex vs. Ep Emerging Markets | Fidelity Flex vs. Payden Emerging Markets | Fidelity Flex vs. Siit Emerging Markets | Fidelity Flex vs. Abs Insights Emerging |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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