Correlation Between Fidelity Series and Floating Rate
Can any of the company-specific risk be diversified away by investing in both Fidelity Series and Floating Rate 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 Floating Rate 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 Floating Rate Fund, you can compare the effects of market volatilities on Fidelity Series and Floating Rate 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 Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Series and Floating Rate.
Diversification Opportunities for Fidelity Series and Floating Rate
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Fidelity and Floating is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Series 1000 and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate 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 Floating Rate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Floating Rate has no effect on the direction of Fidelity Series i.e., Fidelity Series and Floating Rate go up and down completely randomly.
Pair Corralation between Fidelity Series and Floating Rate
Assuming the 90 days horizon Fidelity Series 1000 is expected to under-perform the Floating Rate. In addition to that, Fidelity Series is 6.29 times more volatile than Floating Rate Fund. It trades about -0.05 of its total potential returns per unit of risk. Floating Rate Fund is currently generating about 0.19 per unit of volatility. If you would invest 803.00 in Floating Rate Fund on September 26, 2024 and sell it today you would earn a total of 13.00 from holding Floating Rate Fund or generate 1.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Series 1000 vs. Floating Rate Fund
Performance |
Timeline |
Fidelity Series 1000 |
Floating Rate |
Fidelity Series and Floating Rate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Series and Floating Rate
The main advantage of trading using opposite Fidelity Series and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Series position performs unexpectedly, Floating Rate 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 Floating Rate will offset losses from the drop in Floating Rate's long position.Fidelity Series vs. Fidelity Mid Cap | Fidelity Series vs. Fidelity Blue Chip | Fidelity Series vs. Fidelity Value Discovery | Fidelity Series vs. Fidelity Stock Selector |
Floating Rate vs. Qs Large Cap | Floating Rate vs. Touchstone Large Cap | Floating Rate vs. M Large Cap | Floating Rate vs. Fidelity Series 1000 |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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