Correlation Between Loomis Sayles and Aqr Long-short
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Aqr Long-short 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 Loomis Sayles and Aqr Long-short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Smallmid and Aqr Long Short Equity, you can compare the effects of market volatilities on Loomis Sayles and Aqr Long-short 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 Loomis Sayles with a short position of Aqr Long-short. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Aqr Long-short.
Diversification Opportunities for Loomis Sayles and Aqr Long-short
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Loomis and Aqr is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Smallmid 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 Loomis Sayles 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 Loomis Sayles Smallmid are associated (or correlated) with Aqr Long-short. 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 Loomis Sayles i.e., Loomis Sayles and Aqr Long-short go up and down completely randomly.
Pair Corralation between Loomis Sayles and Aqr Long-short
Assuming the 90 days horizon Loomis Sayles Smallmid is expected to generate 0.64 times more return on investment than Aqr Long-short. However, Loomis Sayles Smallmid is 1.57 times less risky than Aqr Long-short. It trades about -0.17 of its potential returns per unit of risk. Aqr Long Short Equity is currently generating about -0.16 per unit of risk. If you would invest 1,435 in Loomis Sayles Smallmid on October 10, 2024 and sell it today you would lose (52.00) from holding Loomis Sayles Smallmid or give up 3.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Smallmid vs. Aqr Long Short Equity
Performance |
Timeline |
Loomis Sayles Smallmid |
Aqr Long Short |
Loomis Sayles and Aqr Long-short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Aqr Long-short
The main advantage of trading using opposite Loomis Sayles and Aqr Long-short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Aqr Long-short 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-short will offset losses from the drop in Aqr Long-short's long position.Loomis Sayles vs. Aqr Long Short Equity | Loomis Sayles vs. Us Vector Equity | Loomis Sayles vs. Quantitative Longshort Equity | Loomis Sayles vs. Doubleline Core Fixed |
Aqr Long-short vs. Pace Large Growth | Aqr Long-short vs. Rbc Global Equity | Aqr Long-short vs. Alternative Asset Allocation | Aqr Long-short vs. Qs Global Equity |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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