Correlation Between Aqr Long-short and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Aqr Long-short and Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs Short, you can compare the effects of market volatilities on Aqr Long-short and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Long-short and Goldman Sachs.
Diversification Opportunities for Aqr Long-short and Goldman Sachs
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Aqr and Goldman is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Long Short Equity and Goldman Sachs Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Short 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Short has no effect on the direction of Aqr Long-short i.e., Aqr Long-short and Goldman Sachs go up and down completely randomly.
Pair Corralation between Aqr Long-short and Goldman Sachs
Assuming the 90 days horizon Aqr Long Short Equity is expected to generate 4.91 times more return on investment than Goldman Sachs. However, Aqr Long-short is 4.91 times more volatile than Goldman Sachs Short. It trades about 0.23 of its potential returns per unit of risk. Goldman Sachs Short is currently generating about 0.2 per unit of risk. If you would invest 1,564 in Aqr Long Short Equity on December 28, 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 | Very Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Aqr Long Short Equity vs. Goldman Sachs Short
Performance |
Timeline |
Aqr Long Short |
Goldman Sachs Short |
Aqr Long-short and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aqr Long-short and Goldman Sachs
The main advantage of trading using opposite Aqr Long-short and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Long-short position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Aqr Long-short vs. Us Government Plus | Aqr Long-short vs. The Hartford Municipal | Aqr Long-short vs. Goldman Sachs Short | Aqr Long-short vs. Bbh Intermediate Municipal |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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