Correlation Between EigenLayer and SOLVE

Can any of the company-specific risk be diversified away by investing in both EigenLayer and SOLVE 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 SOLVE into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between EigenLayer and SOLVE, you can compare the effects of market volatilities on EigenLayer and SOLVE 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 SOLVE. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and SOLVE.

Diversification Opportunities for EigenLayer and SOLVE

0.88

Correlation Coefficient

EigenLayer  SOLVE

Very poor diversification

The 3 months correlation between EigenLayer and SOLVE is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and SOLVE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOLVE 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 SOLVE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOLVE has no effect on the direction of EigenLayer i.e., EigenLayer and SOLVE go up and down completely randomly.

Pair Corralation between EigenLayer and SOLVE

Assuming the 90 days trading horizon EigenLayer is expected to generate 0.78 times more return on investment than SOLVE. However, EigenLayer is 1.29 times less risky than SOLVE. It trades about -0.02 of its potential returns per unit of risk. SOLVE is currently generating about -0.15 per unit of risk. If you would invest  165.00  in EigenLayer on February 9, 2025 and sell it today you would lose (46.00) from holding EigenLayer or give up 27.88% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

EigenLayer  vs.  SOLVE

EigenLayer

Risk-Adjusted Performance

Very Weak

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

SOLVE

Risk-Adjusted Performance

Very Weak

Over the last 90 days SOLVE 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 SOLVE shareholders.

Pair Trading with EigenLayer and SOLVE

The main advantage of trading using opposite EigenLayer and SOLVE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, SOLVE 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 SOLVE will offset losses from the drop in SOLVE's long position.

The idea behind EigenLayer and SOLVE 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.