Correlation Between EigenLayer and Graph

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

Diversification Opportunities for EigenLayer and Graph

0.77
  Correlation Coefficient

Poor diversification

The 3 months correlation between EigenLayer and Graph is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and The Graph in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graph 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 Graph. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graph has no effect on the direction of EigenLayer i.e., EigenLayer and Graph go up and down completely randomly.

Pair Corralation between EigenLayer and Graph

Assuming the 90 days trading horizon EigenLayer is expected to generate 1.49 times more return on investment than Graph. However, EigenLayer is 1.49 times more volatile than The Graph. It trades about 0.03 of its potential returns per unit of risk. The Graph is currently generating about -0.03 per unit of risk. If you would invest  146.00  in EigenLayer on May 13, 2025 and sell it today you would lose (3.00) from holding EigenLayer or give up 2.05% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

EigenLayer  vs.  The Graph

 Performance 
       Timeline  
EigenLayer 

Risk-Adjusted Performance

Weak

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in EigenLayer are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, EigenLayer exhibited solid returns over the last few months and may actually be approaching a breakup point.
Graph 

Risk-Adjusted Performance

Weakest

 
Weak
 
Strong
Over the last 90 days The Graph has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for The Graph shareholders.

EigenLayer and Graph Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and Graph

The main advantage of trading using opposite EigenLayer and Graph positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, Graph 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 Graph will offset losses from the drop in Graph's long position.
The idea behind EigenLayer and The Graph 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.
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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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

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