Correlation Between Aqr Managed and Fidelity Advisor
Can any of the company-specific risk be diversified away by investing in both Aqr Managed and Fidelity Advisor 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 Fidelity Advisor 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 Fidelity Advisor Health, you can compare the effects of market volatilities on Aqr Managed and Fidelity Advisor 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 Fidelity Advisor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Managed and Fidelity Advisor.
Diversification Opportunities for Aqr Managed and Fidelity Advisor
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Aqr and Fidelity is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Managed Futures and Fidelity Advisor Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Advisor Health 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 Fidelity Advisor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Advisor Health has no effect on the direction of Aqr Managed i.e., Aqr Managed and Fidelity Advisor go up and down completely randomly.
Pair Corralation between Aqr Managed and Fidelity Advisor
Assuming the 90 days horizon Aqr Managed is expected to generate 1.49 times less return on investment than Fidelity Advisor. But when comparing it to its historical volatility, Aqr Managed Futures is 1.13 times less risky than Fidelity Advisor. It trades about 0.05 of its potential returns per unit of risk. Fidelity Advisor Health is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 6,599 in Fidelity Advisor Health on August 30, 2024 and sell it today you would earn a total of 103.00 from holding Fidelity Advisor Health or generate 1.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.65% |
Values | Daily Returns |
Aqr Managed Futures vs. Fidelity Advisor Health
Performance |
Timeline |
Aqr Managed Futures |
Fidelity Advisor Health |
Aqr Managed and Fidelity Advisor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aqr Managed and Fidelity Advisor
The main advantage of trading using opposite Aqr Managed and Fidelity Advisor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Managed position performs unexpectedly, Fidelity Advisor 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 Fidelity Advisor will offset losses from the drop in Fidelity Advisor's long position.Aqr Managed vs. Aqr Large Cap | Aqr Managed vs. Aqr International Defensive | Aqr Managed vs. Aqr International Defensive | Aqr Managed vs. Aqr International Defensive |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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