Correlation Between EigenLayer and Arbitrum
Can any of the company-specific risk be diversified away by investing in both EigenLayer and Arbitrum 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 EigenLayer and Arbitrum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EigenLayer and Arbitrum, you can compare the effects of market volatilities on EigenLayer and Arbitrum 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 EigenLayer with a short position of Arbitrum. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and Arbitrum.
Diversification Opportunities for EigenLayer and Arbitrum
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between EigenLayer and Arbitrum is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and Arbitrum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arbitrum and EigenLayer 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 EigenLayer are associated (or correlated) with Arbitrum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arbitrum has no effect on the direction of EigenLayer i.e., EigenLayer and Arbitrum go up and down completely randomly.
Pair Corralation between EigenLayer and Arbitrum
Assuming the 90 days trading horizon EigenLayer is expected to generate 1.69 times less return on investment than Arbitrum. But when comparing it to its historical volatility, EigenLayer is 1.31 times less risky than Arbitrum. It trades about 0.05 of its potential returns per unit of risk. Arbitrum is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 0.00 in Arbitrum on August 30, 2024 and sell it today you would earn a total of 96.00 from holding Arbitrum or generate 9.223372036854776E16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 58.09% |
| Values | Daily Returns |
EigenLayer vs. Arbitrum
Performance |
| Timeline |
| EigenLayer |
| Arbitrum |
EigenLayer and Arbitrum Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with EigenLayer and Arbitrum
The main advantage of trading using opposite EigenLayer and Arbitrum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, Arbitrum 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 Arbitrum will offset losses from the drop in Arbitrum's long position.The idea behind EigenLayer and Arbitrum 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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