Correlation Between Astar and EigenLayer

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Astar 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 Astar and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astar and EigenLayer, you can compare the effects of market volatilities on Astar 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 Astar with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astar and EigenLayer.

Diversification Opportunities for Astar and EigenLayer

0.51
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Astar and EigenLayer is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Astar and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and Astar 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 Astar 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 Astar i.e., Astar and EigenLayer go up and down completely randomly.

Pair Corralation between Astar and EigenLayer

Assuming the 90 days trading horizon Astar is expected to generate 0.77 times more return on investment than EigenLayer. However, Astar is 1.3 times less risky than EigenLayer. It trades about -0.15 of its potential returns per unit of risk. EigenLayer is currently generating about -0.28 per unit of risk. If you would invest  7.48  in Astar on October 11, 2024 and sell it today you would lose (1.36) from holding Astar or give up 18.18% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Astar  vs.  EigenLayer

 Performance 
       Timeline  
Astar 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Astar are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Astar may actually be approaching a critical reversion point that can send shares even higher in February 2025.
EigenLayer 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in EigenLayer are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, EigenLayer may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Astar and EigenLayer Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Astar and EigenLayer

The main advantage of trading using opposite Astar and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astar 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 Astar 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

Other Complementary Tools

Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments