Correlation Between SLS and EigenLayer

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

Diversification Opportunities for SLS and EigenLayer

0.38
  Correlation Coefficient

Weak diversification

The 3 months correlation between SLS and EigenLayer is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding SLS and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and SLS 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 SLS 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 SLS i.e., SLS and EigenLayer go up and down completely randomly.

Pair Corralation between SLS and EigenLayer

Assuming the 90 days trading horizon SLS is expected to generate 0.29 times more return on investment than EigenLayer. However, SLS is 3.47 times less risky than EigenLayer. It trades about -0.06 of its potential returns per unit of risk. EigenLayer is currently generating about -0.12 per unit of risk. If you would invest  1,199  in SLS on December 2, 2024 and sell it today you would lose (123.00) from holding SLS or give up 10.26% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

SLS  vs.  EigenLayer

 Performance 
       Timeline  
SLS 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days SLS has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for SLS 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 April 2025. The latest tumult may also be a sign of longer-term up-swing for EigenLayer shareholders.

SLS and EigenLayer Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SLS and EigenLayer

The main advantage of trading using opposite SLS and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SLS 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 SLS 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

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