Correlation Between Kava and EigenLayer
Can any of the company-specific risk be diversified away by investing in both Kava and EigenLayer 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 Kava and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kava and EigenLayer, you can compare the effects of market volatilities on Kava and EigenLayer 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 Kava with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kava and EigenLayer.
Diversification Opportunities for Kava and EigenLayer
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kava and EigenLayer is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Kava and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and Kava 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 Kava are associated (or correlated) with EigenLayer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EigenLayer has no effect on the direction of Kava i.e., Kava and EigenLayer go up and down completely randomly.
Pair Corralation between Kava and EigenLayer
Assuming the 90 days trading horizon Kava is expected to generate 0.62 times more return on investment than EigenLayer. However, Kava is 1.62 times less risky than EigenLayer. It trades about -0.13 of its potential returns per unit of risk. EigenLayer is currently generating about -0.15 per unit of risk. If you would invest 52.00 in Kava on November 3, 2024 and sell it today you would lose (7.00) from holding Kava or give up 13.46% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kava vs. EigenLayer
Performance |
| Timeline |
| Kava |
| EigenLayer |
Kava and EigenLayer Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kava and EigenLayer
The main advantage of trading using opposite Kava and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kava position performs unexpectedly, EigenLayer 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 EigenLayer will offset losses from the drop in EigenLayer's long position.The idea behind Kava and EigenLayer pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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