Correlation Between Angel Oak and Kensington Dynamic
Can any of the company-specific risk be diversified away by investing in both Angel Oak and Kensington Dynamic 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 Angel Oak and Kensington Dynamic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Angel Oak Multi Strategy and Kensington Dynamic Growth, you can compare the effects of market volatilities on Angel Oak and Kensington Dynamic 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 Angel Oak with a short position of Kensington Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Angel Oak and Kensington Dynamic.
Diversification Opportunities for Angel Oak and Kensington Dynamic
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Angel and Kensington is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Angel Oak Multi Strategy and Kensington Dynamic Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kensington Dynamic Growth and Angel Oak 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 Angel Oak Multi Strategy are associated (or correlated) with Kensington Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kensington Dynamic Growth has no effect on the direction of Angel Oak i.e., Angel Oak and Kensington Dynamic go up and down completely randomly.
Pair Corralation between Angel Oak and Kensington Dynamic
Assuming the 90 days horizon Angel Oak Multi Strategy is expected to under-perform the Kensington Dynamic. But the mutual fund apears to be less risky and, when comparing its historical volatility, Angel Oak Multi Strategy is 8.71 times less risky than Kensington Dynamic. The mutual fund trades about -0.13 of its potential returns per unit of risk. The Kensington Dynamic Growth is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,069 in Kensington Dynamic Growth on October 8, 2024 and sell it today you would earn a total of 1.00 from holding Kensington Dynamic Growth or generate 0.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Angel Oak Multi Strategy vs. Kensington Dynamic Growth
Performance |
Timeline |
Angel Oak Multi |
Kensington Dynamic Growth |
Angel Oak and Kensington Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Angel Oak and Kensington Dynamic
The main advantage of trading using opposite Angel Oak and Kensington Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Angel Oak position performs unexpectedly, Kensington Dynamic 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 Kensington Dynamic will offset losses from the drop in Kensington Dynamic's long position.Angel Oak vs. Principal Fds Money | Angel Oak vs. John Hancock Money | Angel Oak vs. Pioneer Money Market | Angel Oak vs. Ab Government Exchange |
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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