Correlation Between Angel Oak and MFS Investment
Can any of the company-specific risk be diversified away by investing in both Angel Oak and MFS Investment 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 MFS Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Angel Oak Financial and MFS Investment Grade, you can compare the effects of market volatilities on Angel Oak and MFS Investment 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 MFS Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Angel Oak and MFS Investment.
Diversification Opportunities for Angel Oak and MFS Investment
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Angel and MFS is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Angel Oak Financial and MFS Investment Grade in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFS Investment Grade 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 Financial are associated (or correlated) with MFS Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFS Investment Grade has no effect on the direction of Angel Oak i.e., Angel Oak and MFS Investment go up and down completely randomly.
Pair Corralation between Angel Oak and MFS Investment
Given the investment horizon of 90 days Angel Oak Financial is expected to generate 1.06 times more return on investment than MFS Investment. However, Angel Oak is 1.06 times more volatile than MFS Investment Grade. It trades about 0.22 of its potential returns per unit of risk. MFS Investment Grade is currently generating about 0.03 per unit of risk. If you would invest 1,257 in Angel Oak Financial on December 27, 2024 and sell it today you would earn a total of 91.00 from holding Angel Oak Financial or generate 7.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Angel Oak Financial vs. MFS Investment Grade
Performance |
Timeline |
Angel Oak Financial |
MFS Investment Grade |
Angel Oak and MFS Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Angel Oak and MFS Investment
The main advantage of trading using opposite Angel Oak and MFS Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Angel Oak position performs unexpectedly, MFS Investment 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 MFS Investment will offset losses from the drop in MFS Investment's long position.Angel Oak vs. Eaton Vance National | Angel Oak vs. Blackrock Muniholdings Ny | Angel Oak vs. Nuveen California Select | Angel Oak vs. MFS Investment Grade |
MFS Investment vs. Eaton Vance National | MFS Investment vs. Nuveen California Select | MFS Investment vs. Federated Premier Municipal |
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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