Correlation Between EigenLayer and OAX

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

Diversification Opportunities for EigenLayer and OAX

0.61
  Correlation Coefficient

Poor diversification

The 3 months correlation between EigenLayer and OAX is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and OAX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OAX 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 OAX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OAX has no effect on the direction of EigenLayer i.e., EigenLayer and OAX go up and down completely randomly.

Pair Corralation between EigenLayer and OAX

Assuming the 90 days trading horizon EigenLayer is expected to generate 0.71 times more return on investment than OAX. However, EigenLayer is 1.41 times less risky than OAX. It trades about -0.11 of its potential returns per unit of risk. OAX is currently generating about -0.11 per unit of risk. If you would invest  396.00  in EigenLayer on December 1, 2024 and sell it today you would lose (225.00) from holding EigenLayer or give up 56.82% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

EigenLayer  vs.  OAX

 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.
OAX 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days OAX 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 April 2025. The latest tumult may also be a sign of longer-term up-swing for OAX shareholders.

EigenLayer and OAX Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and OAX

The main advantage of trading using opposite EigenLayer and OAX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, OAX 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 OAX will offset losses from the drop in OAX's long position.
The idea behind EigenLayer and OAX 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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.

Other Complementary Tools

Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk