Correlation Between Fidelity Series and Wells Fargo
Can any of the company-specific risk be diversified away by investing in both Fidelity Series and Wells Fargo 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 Series and Wells Fargo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Series Intrinsic and Wells Fargo Government, you can compare the effects of market volatilities on Fidelity Series and Wells Fargo 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 Series with a short position of Wells Fargo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Series and Wells Fargo.
Diversification Opportunities for Fidelity Series and Wells Fargo
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fidelity and Wells is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Series Intrinsic and Wells Fargo Government in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wells Fargo Government and Fidelity Series 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 Series Intrinsic are associated (or correlated) with Wells Fargo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wells Fargo Government has no effect on the direction of Fidelity Series i.e., Fidelity Series and Wells Fargo go up and down completely randomly.
Pair Corralation between Fidelity Series and Wells Fargo
Assuming the 90 days horizon Fidelity Series Intrinsic is expected to generate 3.32 times more return on investment than Wells Fargo. However, Fidelity Series is 3.32 times more volatile than Wells Fargo Government. It trades about 0.11 of its potential returns per unit of risk. Wells Fargo Government is currently generating about 0.12 per unit of risk. If you would invest 1,078 in Fidelity Series Intrinsic on May 20, 2025 and sell it today you would earn a total of 70.00 from holding Fidelity Series Intrinsic or generate 6.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Series Intrinsic vs. Wells Fargo Government
Performance |
Timeline |
Fidelity Series Intrinsic |
Wells Fargo Government |
Fidelity Series and Wells Fargo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Series and Wells Fargo
The main advantage of trading using opposite Fidelity Series and Wells Fargo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Series position performs unexpectedly, Wells Fargo 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 Wells Fargo will offset losses from the drop in Wells Fargo's long position.Fidelity Series vs. Pimco Energy Tactical | Fidelity Series vs. Dreyfus Natural Resources | Fidelity Series vs. Blackrock All Cap Energy | Fidelity Series vs. Ivy Natural Resources |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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