Correlation Between Aqr Long-short and Aqr Small
Can any of the company-specific risk be diversified away by investing in both Aqr Long-short and Aqr Small 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 Long-short and Aqr Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aqr Long Short Equity and Aqr Small Cap, you can compare the effects of market volatilities on Aqr Long-short and Aqr Small 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 Long-short with a short position of Aqr Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Long-short and Aqr Small.
Diversification Opportunities for Aqr Long-short and Aqr Small
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Aqr and Aqr is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Long Short Equity and Aqr Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Small Cap and Aqr Long-short 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 Long Short Equity are associated (or correlated) with Aqr Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Small Cap has no effect on the direction of Aqr Long-short i.e., Aqr Long-short and Aqr Small go up and down completely randomly.
Pair Corralation between Aqr Long-short and Aqr Small
Assuming the 90 days horizon Aqr Long-short is expected to generate 2.23 times less return on investment than Aqr Small. But when comparing it to its historical volatility, Aqr Long Short Equity is 4.11 times less risky than Aqr Small. It trades about 0.42 of its potential returns per unit of risk. Aqr Small Cap is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,913 in Aqr Small Cap on August 31, 2024 and sell it today you would earn a total of 178.00 from holding Aqr Small Cap or generate 9.3% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Aqr Long Short Equity vs. Aqr Small Cap
Performance |
| Timeline |
| Aqr Long Short |
| Aqr Small Cap |
Aqr Long-short and Aqr Small Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Aqr Long-short and Aqr Small
The main advantage of trading using opposite Aqr Long-short and Aqr Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Long-short position performs unexpectedly, Aqr Small 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 Small will offset losses from the drop in Aqr Small's long position.| Aqr Long-short vs. Champlain Mid Cap | Aqr Long-short vs. Artisan Small Cap | Aqr Long-short vs. Kinetics Small Cap | Aqr Long-short vs. Victory Rs Small |
| Aqr Small vs. Vanguard Small Cap Index | Aqr Small vs. Vanguard Small Cap Index | Aqr Small vs. T Rowe Price | Aqr Small vs. HUMANA INC |
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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