Correlation Between Wormhole and EigenLayer

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

Diversification Opportunities for Wormhole and EigenLayer

0.91
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Wormhole and EigenLayer is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Wormhole and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and Wormhole 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 Wormhole 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 Wormhole i.e., Wormhole and EigenLayer go up and down completely randomly.

Pair Corralation between Wormhole and EigenLayer

Given the investment horizon of 90 days Wormhole is expected to under-perform the EigenLayer. But the crypto coin apears to be less risky and, when comparing its historical volatility, Wormhole is 1.12 times less risky than EigenLayer. The crypto coin trades about -0.14 of its potential returns per unit of risk. The EigenLayer is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest  363.00  in EigenLayer on November 27, 2024 and sell it today you would lose (200.00) from holding EigenLayer or give up 55.1% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy98.44%
ValuesDaily Returns

Wormhole  vs.  EigenLayer

 Performance 
       Timeline  
Wormhole 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Wormhole has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for Wormhole shareholders.
EigenLayer 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days EigenLayer has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for EigenLayer shareholders.

Wormhole and EigenLayer Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Wormhole and EigenLayer

The main advantage of trading using opposite Wormhole and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wormhole 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 Wormhole 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.
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

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