Correlation Between Aqr Long-short and Quantitative
Can any of the company-specific risk be diversified away by investing in both Aqr Long-short and Quantitative 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 Quantitative 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 Quantitative Longshort Equity, you can compare the effects of market volatilities on Aqr Long-short and Quantitative 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 Quantitative. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Long-short and Quantitative.
Diversification Opportunities for Aqr Long-short and Quantitative
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Aqr and Quantitative is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Long Short Equity and Quantitative Longshort Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quantitative Longshort 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 Quantitative. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quantitative Longshort has no effect on the direction of Aqr Long-short i.e., Aqr Long-short and Quantitative go up and down completely randomly.
Pair Corralation between Aqr Long-short and Quantitative
Assuming the 90 days horizon Aqr Long Short Equity is expected to generate 1.26 times more return on investment than Quantitative. However, Aqr Long-short is 1.26 times more volatile than Quantitative Longshort Equity. It trades about 0.23 of its potential returns per unit of risk. Quantitative Longshort Equity is currently generating about 0.03 per unit of risk. If you would invest 1,564 in Aqr Long Short Equity on December 30, 2024 and sell it today you would earn a total of 128.00 from holding Aqr Long Short Equity or generate 8.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Aqr Long Short Equity vs. Quantitative Longshort Equity
Performance |
Timeline |
Aqr Long Short |
Quantitative Longshort |
Aqr Long-short and Quantitative Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aqr Long-short and Quantitative
The main advantage of trading using opposite Aqr Long-short and Quantitative positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Long-short position performs unexpectedly, Quantitative 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 Quantitative will offset losses from the drop in Quantitative's long position.Aqr Long-short vs. Touchstone International Equity | Aqr Long-short vs. Pace International Equity | Aqr Long-short vs. Pnc International Equity | Aqr Long-short vs. Transamerica International Equity |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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