Correlation Between Aqr Long-short and Kinetics Small
Can any of the company-specific risk be diversified away by investing in both Aqr Long-short and Kinetics 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 Kinetics 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 Kinetics Small Cap, you can compare the effects of market volatilities on Aqr Long-short and Kinetics 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 Kinetics Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Long-short and Kinetics Small.
Diversification Opportunities for Aqr Long-short and Kinetics Small
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Aqr and Kinetics is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Long Short Equity and Kinetics Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kinetics 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 Kinetics Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kinetics Small Cap has no effect on the direction of Aqr Long-short i.e., Aqr Long-short and Kinetics Small go up and down completely randomly.
Pair Corralation between Aqr Long-short and Kinetics Small
Assuming the 90 days horizon Aqr Long-short is expected to generate 2.24 times less return on investment than Kinetics Small. But when comparing it to its historical volatility, Aqr Long Short Equity is 3.4 times less risky than Kinetics Small. It trades about 0.24 of its potential returns per unit of risk. Kinetics Small Cap is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 10,208 in Kinetics Small Cap on August 28, 2024 and sell it today you would earn a total of 12,668 from holding Kinetics Small Cap or generate 124.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 99.72% |
| Values | Daily Returns |
Aqr Long Short Equity vs. Kinetics Small Cap
Performance |
| Timeline |
| Aqr Long Short |
| Kinetics Small Cap |
Aqr Long-short and Kinetics Small Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Aqr Long-short and Kinetics Small
The main advantage of trading using opposite Aqr Long-short and Kinetics Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Long-short position performs unexpectedly, Kinetics 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 Kinetics Small will offset losses from the drop in Kinetics Small's long position.| Aqr Long-short vs. Aqr Large Cap | Aqr Long-short vs. Aqr Large Cap | Aqr Long-short vs. Aqr International Defensive | Aqr Long-short vs. Aqr International Defensive |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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