Correlation Between Dfa Real and Fidelity Freedom
Can any of the company-specific risk be diversified away by investing in both Dfa Real 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 Dfa Real and Fidelity Freedom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dfa Real Estate and Fidelity Freedom Income, you can compare the effects of market volatilities on Dfa Real 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 Dfa Real with a short position of Fidelity Freedom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dfa Real and Fidelity Freedom.
Diversification Opportunities for Dfa Real and Fidelity Freedom
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dfa and Fidelity is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Dfa Real Estate and Fidelity Freedom Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Freedom Income and Dfa Real 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 Dfa Real Estate 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 Income has no effect on the direction of Dfa Real i.e., Dfa Real and Fidelity Freedom go up and down completely randomly.
Pair Corralation between Dfa Real and Fidelity Freedom
Assuming the 90 days horizon Dfa Real Estate is expected to under-perform the Fidelity Freedom. In addition to that, Dfa Real is 3.99 times more volatile than Fidelity Freedom Income. It trades about -0.02 of its total potential returns per unit of risk. Fidelity Freedom Income is currently generating about 0.25 per unit of volatility. If you would invest 1,075 in Fidelity Freedom Income on May 10, 2025 and sell it today you would earn a total of 37.00 from holding Fidelity Freedom Income or generate 3.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dfa Real Estate vs. Fidelity Freedom Income
Performance |
Timeline |
Dfa Real Estate |
Fidelity Freedom Income |
Dfa Real and Fidelity Freedom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dfa Real and Fidelity Freedom
The main advantage of trading using opposite Dfa Real and Fidelity Freedom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dfa Real 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.Dfa Real vs. Dfa International Small | Dfa Real vs. Us Large Cap | Dfa Real vs. International Small Pany | Dfa Real vs. Dfa International Value |
Fidelity Freedom vs. Lord Abbett Short | Fidelity Freedom vs. Maryland Short Term Tax Free | Fidelity Freedom vs. Fidelity Flex Servative | Fidelity Freedom vs. Western Asset Short |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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