Correlation Between Fidelity Series and Oklahoma Municipal
Can any of the company-specific risk be diversified away by investing in both Fidelity Series and Oklahoma 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 Oklahoma 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 Oklahoma Municipal Fund, you can compare the effects of market volatilities on Fidelity Series and Oklahoma 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 Oklahoma Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Series and Oklahoma Municipal.
Diversification Opportunities for Fidelity Series and Oklahoma Municipal
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Fidelity and Oklahoma is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Series 1000 and Oklahoma Municipal Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oklahoma Municipal 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 Oklahoma Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oklahoma Municipal has no effect on the direction of Fidelity Series i.e., Fidelity Series and Oklahoma Municipal go up and down completely randomly.
Pair Corralation between Fidelity Series and Oklahoma Municipal
Assuming the 90 days horizon Fidelity Series 1000 is expected to under-perform the Oklahoma Municipal. In addition to that, Fidelity Series is 2.53 times more volatile than Oklahoma Municipal Fund. It trades about -0.1 of its total potential returns per unit of risk. Oklahoma Municipal Fund is currently generating about -0.1 per unit of volatility. If you would invest 1,065 in Oklahoma Municipal Fund on September 21, 2024 and sell it today you would lose (22.00) from holding Oklahoma Municipal Fund or give up 2.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Series 1000 vs. Oklahoma Municipal Fund
Performance |
Timeline |
Fidelity Series 1000 |
Oklahoma Municipal |
Fidelity Series and Oklahoma Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Series and Oklahoma Municipal
The main advantage of trading using opposite Fidelity Series and Oklahoma Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Series position performs unexpectedly, Oklahoma 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 Oklahoma Municipal will offset losses from the drop in Oklahoma Municipal's long position.Fidelity Series vs. Payden High Income | Fidelity Series vs. City National Rochdale | Fidelity Series vs. Virtus High Yield | Fidelity Series vs. Artisan High Income |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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