Correlation Between EigenLayer and WINGS

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

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

Diversification Opportunities for EigenLayer and WINGS

0.3

Correlation Coefficient

EigenLayer  WINGS

Weak diversification

The 3 months correlation between EigenLayer and WINGS is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and WINGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WINGS 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 WINGS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WINGS has no effect on the direction of EigenLayer i.e., EigenLayer and WINGS go up and down completely randomly.

Pair Corralation between EigenLayer and WINGS

Assuming the 90 days trading horizon EigenLayer is expected to under-perform the WINGS. In addition to that, EigenLayer is 1.89 times more volatile than WINGS. It trades about -0.11 of its total potential returns per unit of risk. WINGS is currently generating about -0.06 per unit of volatility. If you would invest  0.00  in WINGS on December 1, 2024 and sell it today you would lose  0.00  from holding WINGS or give up 20.0% of portfolio value over 90 days.

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

EigenLayer  vs.  WINGS

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 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.

WINGS

Risk-Adjusted Performance

Very Weak

Over the last 90 days WINGS 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 WINGS shareholders.

Pair Trading with EigenLayer and WINGS

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

The idea behind EigenLayer and WINGS 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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.