Correlation Between EigenLayer and Movement

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

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

Diversification Opportunities for EigenLayer and Movement

-0.33

Correlation Coefficient

EigenLayer  Movement

Very good diversification

The 3 months correlation between EigenLayer and Movement is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and Movement in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Movement 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 Movement. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Movement has no effect on the direction of EigenLayer i.e., EigenLayer and Movement go up and down completely randomly.

Pair Corralation between EigenLayer and Movement

Assuming the 90 days trading horizon EigenLayer is expected to generate 1.2 times more return on investment than Movement. However, EigenLayer is 1.2 times more volatile than Movement. It trades about 0.12 of its potential returns per unit of risk. Movement is currently generating about -0.04 per unit of risk. If you would invest  96.00  in EigenLayer on April 23, 2025 and sell it today you would earn a total of  59.00  from holding EigenLayer or generate 61.46% return on investment over 90 days.

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

EigenLayer  vs.  Movement

EigenLayer

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in EigenLayer are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, EigenLayer exhibited solid returns over the last few months and may actually be approaching a breakup point.

Movement

Risk-Adjusted Performance

Very Weak

Over the last 90 days Movement 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 August 2025. The latest tumult may also be a sign of longer-term up-swing for Movement shareholders.

Pair Trading with EigenLayer and Movement

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

The idea behind EigenLayer and Movement 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.