Correlation Between Aqr Managed and Preferred Securities
Can any of the company-specific risk be diversified away by investing in both Aqr Managed and Preferred Securities 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 Aqr Managed and Preferred Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aqr Managed Futures and Preferred Securities Fund, you can compare the effects of market volatilities on Aqr Managed and Preferred Securities 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 Aqr Managed with a short position of Preferred Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Managed and Preferred Securities.
Diversification Opportunities for Aqr Managed and Preferred Securities
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Aqr and Preferred is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Managed Futures and Preferred Securities Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Preferred Securities and Aqr Managed 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 Aqr Managed Futures are associated (or correlated) with Preferred Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Preferred Securities has no effect on the direction of Aqr Managed i.e., Aqr Managed and Preferred Securities go up and down completely randomly.
Pair Corralation between Aqr Managed and Preferred Securities
Assuming the 90 days horizon Aqr Managed Futures is expected to generate 4.27 times more return on investment than Preferred Securities. However, Aqr Managed is 4.27 times more volatile than Preferred Securities Fund. It trades about 0.13 of its potential returns per unit of risk. Preferred Securities Fund is currently generating about 0.14 per unit of risk. If you would invest 853.00 in Aqr Managed Futures on December 26, 2024 and sell it today you would earn a total of 42.00 from holding Aqr Managed Futures or generate 4.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Aqr Managed Futures vs. Preferred Securities Fund
Performance |
Timeline |
Aqr Managed Futures |
Preferred Securities |
Aqr Managed and Preferred Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aqr Managed and Preferred Securities
The main advantage of trading using opposite Aqr Managed and Preferred Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Managed position performs unexpectedly, Preferred Securities 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 Preferred Securities will offset losses from the drop in Preferred Securities' long position.Aqr Managed vs. Fvkvwx | Aqr Managed vs. T Rowe Price | Aqr Managed vs. Fzdaqx | Aqr Managed vs. Ab Value Fund |
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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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