Correlation Between Fidelity Freedom and Fidelity Salem
Can any of the company-specific risk be diversified away by investing in both Fidelity Freedom and Fidelity Salem 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 Freedom and Fidelity Salem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Freedom Index and Fidelity Salem Street, you can compare the effects of market volatilities on Fidelity Freedom and Fidelity Salem 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 Freedom with a short position of Fidelity Salem. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Freedom and Fidelity Salem.
Diversification Opportunities for Fidelity Freedom and Fidelity Salem
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fidelity and Fidelity is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Freedom Index and Fidelity Salem Street in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Salem Street and Fidelity Freedom 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 Freedom Index are associated (or correlated) with Fidelity Salem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Salem Street has no effect on the direction of Fidelity Freedom i.e., Fidelity Freedom and Fidelity Salem go up and down completely randomly.
Pair Corralation between Fidelity Freedom and Fidelity Salem
Assuming the 90 days horizon Fidelity Freedom Index is expected to generate 2.46 times more return on investment than Fidelity Salem. However, Fidelity Freedom is 2.46 times more volatile than Fidelity Salem Street. It trades about 0.09 of its potential returns per unit of risk. Fidelity Salem Street is currently generating about 0.08 per unit of risk. If you would invest 1,932 in Fidelity Freedom Index on September 20, 2024 and sell it today you would earn a total of 716.00 from holding Fidelity Freedom Index or generate 37.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 91.92% |
Values | Daily Returns |
Fidelity Freedom Index vs. Fidelity Salem Street
Performance |
Timeline |
Fidelity Freedom Index |
Fidelity Salem Street |
Fidelity Freedom and Fidelity Salem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Freedom and Fidelity Salem
The main advantage of trading using opposite Fidelity Freedom and Fidelity Salem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Freedom position performs unexpectedly, Fidelity Salem 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 Salem will offset losses from the drop in Fidelity Salem's long position.Fidelity Freedom vs. Gabelli Gold Fund | Fidelity Freedom vs. Precious Metals And | Fidelity Freedom vs. Goldman Sachs Clean | Fidelity Freedom vs. Vy Goldman Sachs |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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