Correlation Between EigenLayer and UMA

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

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

Diversification Opportunities for EigenLayer and UMA

0.42

Correlation Coefficient

EigenLayer  UMA

Very weak diversification

The 3 months correlation between EigenLayer and UMA is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and UMA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMA 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 UMA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UMA has no effect on the direction of EigenLayer i.e., EigenLayer and UMA go up and down completely randomly.

Pair Corralation between EigenLayer and UMA

Assuming the 90 days trading horizon EigenLayer is expected to generate 1.47 times more return on investment than UMA. However, EigenLayer is 1.47 times more volatile than UMA. It trades about 0.11 of its potential returns per unit of risk. UMA is currently generating about 0.1 per unit of risk. If you would invest  98.00  in EigenLayer on April 24, 2025 and sell it today you would earn a total of  51.00  from holding EigenLayer or generate 52.04% return on investment over 90 days.

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

EigenLayer  vs.  UMA

EigenLayer

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in EigenLayer are ranked lower than 8 (%) 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.

UMA

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in UMA are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, UMA exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with EigenLayer and UMA

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

The idea behind EigenLayer and UMA 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.