Correlation Between College Retirement and Fidelity Freedom
Can any of the company-specific risk be diversified away by investing in both College Retirement and Fidelity Freedom 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 College Retirement and Fidelity Freedom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between College Retirement Equities and Fidelity Freedom Index, you can compare the effects of market volatilities on College Retirement and Fidelity Freedom 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 College Retirement with a short position of Fidelity Freedom. Check out your portfolio center. Please also check ongoing floating volatility patterns of College Retirement and Fidelity Freedom.
Diversification Opportunities for College Retirement and Fidelity Freedom
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between College and Fidelity is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding College Retirement Equities and Fidelity Freedom Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Freedom Index and College Retirement 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 College Retirement Equities are associated (or correlated) with Fidelity Freedom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Freedom Index has no effect on the direction of College Retirement i.e., College Retirement and Fidelity Freedom go up and down completely randomly.
Pair Corralation between College Retirement and Fidelity Freedom
Assuming the 90 days trading horizon College Retirement is expected to generate 1.65 times less return on investment than Fidelity Freedom. In addition to that, College Retirement is 1.46 times more volatile than Fidelity Freedom Index. It trades about 0.11 of its total potential returns per unit of risk. Fidelity Freedom Index is currently generating about 0.27 per unit of volatility. If you would invest 2,549 in Fidelity Freedom Index on September 14, 2024 and sell it today you would earn a total of 55.00 from holding Fidelity Freedom Index or generate 2.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
College Retirement Equities vs. Fidelity Freedom Index
Performance |
Timeline |
College Retirement |
Fidelity Freedom Index |
College Retirement and Fidelity Freedom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with College Retirement and Fidelity Freedom
The main advantage of trading using opposite College Retirement and Fidelity Freedom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if College Retirement position performs unexpectedly, Fidelity Freedom 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 Freedom will offset losses from the drop in Fidelity Freedom's long position.College Retirement vs. T Rowe Price | College Retirement vs. Scout E Bond | College Retirement vs. Ft 7934 Corporate | College Retirement vs. T Rowe Price |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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