Correlation Between Angel Oak and Inverse Nasdaq
Can any of the company-specific risk be diversified away by investing in both Angel Oak and Inverse Nasdaq 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 Inverse Nasdaq 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 Inverse Nasdaq 100 Strategy, you can compare the effects of market volatilities on Angel Oak and Inverse Nasdaq 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 Inverse Nasdaq. Check out your portfolio center. Please also check ongoing floating volatility patterns of Angel Oak and Inverse Nasdaq.
Diversification Opportunities for Angel Oak and Inverse Nasdaq
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Angel and Inverse is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Angel Oak Multi Strategy and Inverse Nasdaq 100 Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Nasdaq 100 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 Inverse Nasdaq. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Nasdaq 100 has no effect on the direction of Angel Oak i.e., Angel Oak and Inverse Nasdaq go up and down completely randomly.
Pair Corralation between Angel Oak and Inverse Nasdaq
Assuming the 90 days horizon Angel Oak Multi Strategy is expected to under-perform the Inverse Nasdaq. But the mutual fund apears to be less risky and, when comparing its historical volatility, Angel Oak Multi Strategy is 15.98 times less risky than Inverse Nasdaq. The mutual fund trades about -0.59 of its potential returns per unit of risk. The Inverse Nasdaq 100 Strategy is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,042 in Inverse Nasdaq 100 Strategy on October 12, 2024 and sell it today you would earn a total of 31.00 from holding Inverse Nasdaq 100 Strategy or generate 2.98% 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. Inverse Nasdaq 100 Strategy
Performance |
Timeline |
Angel Oak Multi |
Inverse Nasdaq 100 |
Angel Oak and Inverse Nasdaq Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Angel Oak and Inverse Nasdaq
The main advantage of trading using opposite Angel Oak and Inverse Nasdaq positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Angel Oak position performs unexpectedly, Inverse Nasdaq 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 Inverse Nasdaq will offset losses from the drop in Inverse Nasdaq's long position.Angel Oak vs. Jennison Natural Resources | Angel Oak vs. Transamerica Mlp Energy | Angel Oak vs. Thrivent Natural Resources | Angel Oak vs. Goehring Rozencwajg Resources |
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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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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