Correlation Between Angel Oak and Aqr Managed
Can any of the company-specific risk be diversified away by investing in both Angel Oak and Aqr Managed 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 Aqr Managed 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 Aqr Managed Futures, you can compare the effects of market volatilities on Angel Oak and Aqr Managed 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 Aqr Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Angel Oak and Aqr Managed.
Diversification Opportunities for Angel Oak and Aqr Managed
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Angel and Aqr is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Angel Oak Financial and Aqr Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Managed Futures 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 Aqr Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Managed Futures has no effect on the direction of Angel Oak i.e., Angel Oak and Aqr Managed go up and down completely randomly.
Pair Corralation between Angel Oak and Aqr Managed
Assuming the 90 days horizon Angel Oak is expected to generate 5.13 times less return on investment than Aqr Managed. But when comparing it to its historical volatility, Angel Oak Financial is 2.93 times less risky than Aqr Managed. It trades about 0.12 of its potential returns per unit of risk. Aqr Managed Futures is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 854.00 in Aqr Managed Futures on September 13, 2024 and sell it today you would earn a total of 25.00 from holding Aqr Managed Futures or generate 2.93% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Angel Oak Financial vs. Aqr Managed Futures
Performance |
| Timeline |
| Angel Oak Financial |
| Aqr Managed Futures |
Angel Oak and Aqr Managed Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Angel Oak and Aqr Managed
The main advantage of trading using opposite Angel Oak and Aqr Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Angel Oak position performs unexpectedly, Aqr Managed 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 Aqr Managed will offset losses from the drop in Aqr Managed's long position.| Angel Oak vs. Shelton Emerging Markets | Angel Oak vs. Pace International Emerging | Angel Oak vs. Rbc Emerging Markets | Angel Oak vs. Vy Jpmorgan Emerging |
| Aqr Managed vs. Aqr Large Cap | Aqr Managed vs. Aqr Small Cap | Aqr Managed vs. Aqr Small Cap | Aqr Managed vs. Aqr Small Cap |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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