Correlation Between Basic Attention and EigenLayer
Can any of the company-specific risk be diversified away by investing in both Basic Attention 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 Basic Attention and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Basic Attention Token and EigenLayer, you can compare the effects of market volatilities on Basic Attention 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 Basic Attention with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basic Attention and EigenLayer.
Diversification Opportunities for Basic Attention and EigenLayer
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Basic and EigenLayer is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Basic Attention Token and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and Basic Attention 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 Basic Attention Token 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 Basic Attention i.e., Basic Attention and EigenLayer go up and down completely randomly.
Pair Corralation between Basic Attention and EigenLayer
Assuming the 90 days trading horizon Basic Attention is expected to generate 3.79 times less return on investment than EigenLayer. But when comparing it to its historical volatility, Basic Attention Token is 2.15 times less risky than EigenLayer. It trades about 0.07 of its potential returns per unit of risk. EigenLayer is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 92.00 in EigenLayer on April 20, 2025 and sell it today you would earn a total of 56.00 from holding EigenLayer or generate 60.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Basic Attention Token vs. EigenLayer
Performance |
Timeline |
Basic Attention Token |
EigenLayer |
Basic Attention and EigenLayer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Basic Attention and EigenLayer
The main advantage of trading using opposite Basic Attention and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basic Attention 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.Basic Attention vs. Staked Ether | Basic Attention vs. EigenLayer | Basic Attention vs. EOSDAC | Basic Attention vs. BLZ |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Other Complementary Tools
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities |