Correlation Between Federated Ultrashort and Aqr Long
Can any of the company-specific risk be diversified away by investing in both Federated Ultrashort and Aqr Long 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 Federated Ultrashort and Aqr Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Ultrashort Bond and Aqr Long Short Equity, you can compare the effects of market volatilities on Federated Ultrashort and Aqr Long 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 Federated Ultrashort with a short position of Aqr Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Ultrashort and Aqr Long.
Diversification Opportunities for Federated Ultrashort and Aqr Long
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Federated and Aqr is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Federated Ultrashort Bond and Aqr Long Short Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Long Short and Federated Ultrashort 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 Federated Ultrashort Bond are associated (or correlated) with Aqr Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Long Short has no effect on the direction of Federated Ultrashort i.e., Federated Ultrashort and Aqr Long go up and down completely randomly.
Pair Corralation between Federated Ultrashort and Aqr Long
Assuming the 90 days horizon Federated Ultrashort is expected to generate 7.87 times less return on investment than Aqr Long. But when comparing it to its historical volatility, Federated Ultrashort Bond is 4.81 times less risky than Aqr Long. It trades about 0.13 of its potential returns per unit of risk. Aqr Long Short Equity is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,555 in Aqr Long Short Equity on September 4, 2024 and sell it today you would earn a total of 95.00 from holding Aqr Long Short Equity or generate 6.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Ultrashort Bond vs. Aqr Long Short Equity
Performance |
Timeline |
Federated Ultrashort Bond |
Aqr Long Short |
Federated Ultrashort and Aqr Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Ultrashort and Aqr Long
The main advantage of trading using opposite Federated Ultrashort and Aqr Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Ultrashort position performs unexpectedly, Aqr Long 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 Long will offset losses from the drop in Aqr Long's long position.Federated Ultrashort vs. California High Yield Municipal | Federated Ultrashort vs. T Rowe Price | Federated Ultrashort vs. Franklin High Yield | Federated Ultrashort vs. Victory High Income |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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