Correlation Between Aggressive Growth and Fidelity Series
Can any of the company-specific risk be diversified away by investing in both Aggressive Growth and Fidelity Series 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 Aggressive Growth and Fidelity Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aggressive Growth Allocation and Fidelity Series Bond, you can compare the effects of market volatilities on Aggressive Growth and Fidelity Series 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 Aggressive Growth with a short position of Fidelity Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aggressive Growth and Fidelity Series.
Diversification Opportunities for Aggressive Growth and Fidelity Series
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aggressive and Fidelity is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Aggressive Growth Allocation and Fidelity Series Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Bond and Aggressive Growth 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 Aggressive Growth Allocation are associated (or correlated) with Fidelity Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Series Bond has no effect on the direction of Aggressive Growth i.e., Aggressive Growth and Fidelity Series go up and down completely randomly.
Pair Corralation between Aggressive Growth and Fidelity Series
Assuming the 90 days horizon Aggressive Growth Allocation is expected to under-perform the Fidelity Series. In addition to that, Aggressive Growth is 2.25 times more volatile than Fidelity Series Bond. It trades about -0.01 of its total potential returns per unit of risk. Fidelity Series Bond is currently generating about 0.04 per unit of volatility. If you would invest 899.00 in Fidelity Series Bond on December 1, 2024 and sell it today you would earn a total of 7.00 from holding Fidelity Series Bond or generate 0.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
Aggressive Growth Allocation vs. Fidelity Series Bond
Performance |
Timeline |
Aggressive Growth |
Fidelity Series Bond |
Aggressive Growth and Fidelity Series Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aggressive Growth and Fidelity Series
The main advantage of trading using opposite Aggressive Growth and Fidelity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aggressive Growth position performs unexpectedly, Fidelity Series 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 Fidelity Series will offset losses from the drop in Fidelity Series' long position.Aggressive Growth vs. Alliancebernstein Global Highome | Aggressive Growth vs. Gmo Global Equity | Aggressive Growth vs. Ab Global Real | Aggressive Growth vs. Rbb Fund Trust |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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