Correlation Between EigenLayer and Chia

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

Diversification Opportunities for EigenLayer and Chia

0.91
  Correlation Coefficient

Almost no diversification

The 3 months correlation between EigenLayer and Chia is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and Chia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chia 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 Chia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chia has no effect on the direction of EigenLayer i.e., EigenLayer and Chia go up and down completely randomly.

Pair Corralation between EigenLayer and Chia

Assuming the 90 days trading horizon EigenLayer is expected to under-perform the Chia. In addition to that, EigenLayer is 1.2 times more volatile than Chia. It trades about -0.21 of its total potential returns per unit of risk. Chia is currently generating about -0.12 per unit of volatility. If you would invest  2,294  in Chia on December 23, 2024 and sell it today you would lose (1,053) from holding Chia or give up 45.9% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

EigenLayer  vs.  Chia

 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 April 2025. The latest tumult may also be a sign of longer-term up-swing for EigenLayer shareholders.
Chia 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Chia 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 technical indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Chia shareholders.

EigenLayer and Chia Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and Chia

The main advantage of trading using opposite EigenLayer and Chia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, Chia 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 Chia will offset losses from the drop in Chia's long position.
The idea behind EigenLayer and Chia 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

Other Complementary Tools

Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes