Correlation Between Angel Oak and Health Biotchnology
Can any of the company-specific risk be diversified away by investing in both Angel Oak and Health Biotchnology 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 Health Biotchnology 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 Health Biotchnology Portfolio, you can compare the effects of market volatilities on Angel Oak and Health Biotchnology 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 Health Biotchnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Angel Oak and Health Biotchnology.
Diversification Opportunities for Angel Oak and Health Biotchnology
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Angel and Health is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Angel Oak Financial and Health Biotchnology Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Health Biotchnology 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 Health Biotchnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Health Biotchnology has no effect on the direction of Angel Oak i.e., Angel Oak and Health Biotchnology go up and down completely randomly.
Pair Corralation between Angel Oak and Health Biotchnology
Assuming the 90 days horizon Angel Oak Financial is expected to generate 0.32 times more return on investment than Health Biotchnology. However, Angel Oak Financial is 3.14 times less risky than Health Biotchnology. It trades about 0.08 of its potential returns per unit of risk. Health Biotchnology Portfolio is currently generating about -0.26 per unit of risk. If you would invest 1,398 in Angel Oak Financial on September 20, 2024 and sell it today you would earn a total of 5.00 from holding Angel Oak Financial or generate 0.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Angel Oak Financial vs. Health Biotchnology Portfolio
Performance |
Timeline |
Angel Oak Financial |
Health Biotchnology |
Angel Oak and Health Biotchnology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Angel Oak and Health Biotchnology
The main advantage of trading using opposite Angel Oak and Health Biotchnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Angel Oak position performs unexpectedly, Health Biotchnology 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 Health Biotchnology will offset losses from the drop in Health Biotchnology's long position.Angel Oak vs. Alternative Asset Allocation | Angel Oak vs. Jhancock Disciplined Value | Angel Oak vs. T Rowe Price | Angel Oak vs. Upright Assets Allocation |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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