Correlation Between EigenLayer and FUN

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

Diversification Opportunities for EigenLayer and FUN

-0.62
  Correlation Coefficient

Excellent diversification

The 3 months correlation between EigenLayer and FUN is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and FUN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FUN 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 FUN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FUN has no effect on the direction of EigenLayer i.e., EigenLayer and FUN go up and down completely randomly.

Pair Corralation between EigenLayer and FUN

Assuming the 90 days trading horizon EigenLayer is expected to under-perform the FUN. But the crypto coin apears to be less risky and, when comparing its historical volatility, EigenLayer is 2.26 times less risky than FUN. The crypto coin trades about -0.14 of its potential returns per unit of risk. The FUN is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  0.30  in FUN on February 4, 2025 and sell it today you would earn a total of  0.13  from holding FUN or generate 44.3% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

EigenLayer  vs.  FUN

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

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in FUN are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, FUN exhibited solid returns over the last few months and may actually be approaching a breakup point.

EigenLayer and FUN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and FUN

The main advantage of trading using opposite EigenLayer and FUN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, FUN 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 FUN will offset losses from the drop in FUN's long position.
The idea behind EigenLayer and FUN 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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

Other Complementary Tools

AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios