Correlation Between Fidelity Series and Dfa Municipal
Can any of the company-specific risk be diversified away by investing in both Fidelity Series and Dfa Municipal 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 Dfa Municipal 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 Dfa Municipal Real, you can compare the effects of market volatilities on Fidelity Series and Dfa Municipal 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 Dfa Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Series and Dfa Municipal.
Diversification Opportunities for Fidelity Series and Dfa Municipal
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Fidelity and Dfa is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Series 1000 and Dfa Municipal Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dfa Municipal Real 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 Dfa Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dfa Municipal Real has no effect on the direction of Fidelity Series i.e., Fidelity Series and Dfa Municipal go up and down completely randomly.
Pair Corralation between Fidelity Series and Dfa Municipal
Assuming the 90 days horizon Fidelity Series 1000 is expected to generate 15.32 times more return on investment than Dfa Municipal. However, Fidelity Series is 15.32 times more volatile than Dfa Municipal Real. It trades about 0.03 of its potential returns per unit of risk. Dfa Municipal Real is currently generating about 0.41 per unit of risk. If you would invest 1,626 in Fidelity Series 1000 on December 28, 2024 and sell it today you would earn a total of 20.00 from holding Fidelity Series 1000 or generate 1.23% 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. Dfa Municipal Real
Performance |
Timeline |
Fidelity Series 1000 |
Dfa Municipal Real |
Fidelity Series and Dfa Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Series and Dfa Municipal
The main advantage of trading using opposite Fidelity Series and Dfa Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Series position performs unexpectedly, Dfa Municipal 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 Dfa Municipal will offset losses from the drop in Dfa Municipal's long position.Fidelity Series vs. Ashmore Emerging Markets | Fidelity Series vs. Short Small Cap Profund | Fidelity Series vs. Lsv Small Cap | Fidelity Series vs. Tiaa Cref Mid Cap Value |
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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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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