Correlation Between Fidelity Series and Mainstay High
Can any of the company-specific risk be diversified away by investing in both Fidelity Series and Mainstay High 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 Mainstay High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Series 1000 and Mainstay High Yield, you can compare the effects of market volatilities on Fidelity Series and Mainstay High 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 Mainstay High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Series and Mainstay High.
Diversification Opportunities for Fidelity Series and Mainstay High
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fidelity and Mainstay is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Series 1000 and Mainstay High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mainstay High Yield 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 1000 are associated (or correlated) with Mainstay High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mainstay High Yield has no effect on the direction of Fidelity Series i.e., Fidelity Series and Mainstay High go up and down completely randomly.
Pair Corralation between Fidelity Series and Mainstay High
Assuming the 90 days horizon Fidelity Series 1000 is expected to generate 4.27 times more return on investment than Mainstay High. However, Fidelity Series is 4.27 times more volatile than Mainstay High Yield. It trades about 0.31 of its potential returns per unit of risk. Mainstay High Yield is currently generating about 0.15 per unit of risk. If you would invest 1,694 in Fidelity Series 1000 on September 5, 2024 and sell it today you would earn a total of 91.00 from holding Fidelity Series 1000 or generate 5.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Fidelity Series 1000 vs. Mainstay High Yield
Performance |
Timeline |
Fidelity Series 1000 |
Mainstay High Yield |
Fidelity Series and Mainstay High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Series and Mainstay High
The main advantage of trading using opposite Fidelity Series and Mainstay High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Series position performs unexpectedly, Mainstay High 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 Mainstay High will offset losses from the drop in Mainstay High's long position.Fidelity Series vs. Blrc Sgy Mnp | Fidelity Series vs. Transamerica Funds | Fidelity Series vs. Bbh Intermediate Municipal | Fidelity Series vs. Us Government Plus |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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