Correlation Between Federated Short-term and Angel Oak
Can any of the company-specific risk be diversified away by investing in both Federated Short-term and Angel Oak 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 Federated Short-term and Angel Oak into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Short Term Income and Angel Oak Ultrashort, you can compare the effects of market volatilities on Federated Short-term and Angel Oak 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 Federated Short-term with a short position of Angel Oak. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Short-term and Angel Oak.
Diversification Opportunities for Federated Short-term and Angel Oak
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Federated and Angel is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Federated Short Term Income and Angel Oak Ultrashort in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Angel Oak Ultrashort and Federated Short-term 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 Federated Short Term Income are associated (or correlated) with Angel Oak. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Angel Oak Ultrashort has no effect on the direction of Federated Short-term i.e., Federated Short-term and Angel Oak go up and down completely randomly.
Pair Corralation between Federated Short-term and Angel Oak
Assuming the 90 days horizon Federated Short Term Income is expected to under-perform the Angel Oak. In addition to that, Federated Short-term is 1.59 times more volatile than Angel Oak Ultrashort. It trades about -0.32 of its total potential returns per unit of risk. Angel Oak Ultrashort is currently generating about -0.22 per unit of volatility. If you would invest 984.00 in Angel Oak Ultrashort on October 7, 2024 and sell it today you would lose (2.00) from holding Angel Oak Ultrashort or give up 0.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Short Term Income vs. Angel Oak Ultrashort
Performance |
Timeline |
Federated Short Term |
Angel Oak Ultrashort |
Federated Short-term and Angel Oak Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Short-term and Angel Oak
The main advantage of trading using opposite Federated Short-term and Angel Oak positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Short-term position performs unexpectedly, Angel Oak 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 Angel Oak will offset losses from the drop in Angel Oak's long position.Federated Short-term vs. Clearbridge Energy Mlp | Federated Short-term vs. Fidelity Advisor Energy | Federated Short-term vs. Clearbridge Energy Mlp | Federated Short-term vs. Blackrock All Cap Energy |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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