Correlation Between EigenLayer and Conflux Network

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

Diversification Opportunities for EigenLayer and Conflux Network

0.73
  Correlation Coefficient

Poor diversification

The 3 months correlation between EigenLayer and Conflux is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and Conflux Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Conflux Network 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 Conflux Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Conflux Network has no effect on the direction of EigenLayer i.e., EigenLayer and Conflux Network go up and down completely randomly.

Pair Corralation between EigenLayer and Conflux Network

Assuming the 90 days trading horizon EigenLayer is expected to generate 3.54 times more return on investment than Conflux Network. However, EigenLayer is 3.54 times more volatile than Conflux Network. It trades about 0.03 of its potential returns per unit of risk. Conflux Network is currently generating about 0.01 per unit of risk. If you would invest  284.00  in EigenLayer on November 9, 2024 and sell it today you would lose (113.00) from holding EigenLayer or give up 39.79% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

EigenLayer  vs.  Conflux Network

 Performance 
       Timeline  
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.
Conflux Network 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Conflux Network 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 basic 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 Conflux Network shareholders.

EigenLayer and Conflux Network Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and Conflux Network

The main advantage of trading using opposite EigenLayer and Conflux Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, Conflux Network 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 Conflux Network will offset losses from the drop in Conflux Network's long position.
The idea behind EigenLayer and Conflux Network 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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