Correlation Between Morgan Stanley and Angel Oak
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley 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 Morgan Stanley and Angel Oak into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Direct and Angel Oak Multi Strategy, you can compare the effects of market volatilities on Morgan Stanley 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 Morgan Stanley with a short position of Angel Oak. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Angel Oak.
Diversification Opportunities for Morgan Stanley and Angel Oak
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Morgan and Angel is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Angel Oak Multi Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Angel Oak Multi and Morgan Stanley 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 Morgan Stanley Direct 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 Multi has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Angel Oak go up and down completely randomly.
Pair Corralation between Morgan Stanley and Angel Oak
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 7.01 times more return on investment than Angel Oak. However, Morgan Stanley is 7.01 times more volatile than Angel Oak Multi Strategy. It trades about 0.1 of its potential returns per unit of risk. Angel Oak Multi Strategy is currently generating about 0.09 per unit of risk. If you would invest 2,015 in Morgan Stanley Direct on September 26, 2024 and sell it today you would earn a total of 86.00 from holding Morgan Stanley Direct or generate 4.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.62% |
Values | Daily Returns |
Morgan Stanley Direct vs. Angel Oak Multi Strategy
Performance |
Timeline |
Morgan Stanley Direct |
Angel Oak Multi |
Morgan Stanley and Angel Oak Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Angel Oak
The main advantage of trading using opposite Morgan Stanley and Angel Oak positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley 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.Morgan Stanley vs. Century Aluminum | Morgan Stanley vs. Global E Online | Morgan Stanley vs. Kaiser Aluminum | Morgan Stanley vs. Harmony Gold Mining |
Angel Oak vs. Angel Oak Multi Strategy | Angel Oak vs. Doubleline Income Solutions | Angel Oak vs. Angel Oak Ultrashort | Angel Oak vs. Angel Oak Ultrashort |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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