Correlation Between EigenLayer and MOF

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

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

Diversification Opportunities for EigenLayer and MOF

0.0

Correlation Coefficient

EigenLayer  MOF

Pay attention - limited upside

The 3 months correlation between EigenLayer and MOF is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and MOF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MOF 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 MOF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MOF has no effect on the direction of EigenLayer i.e., EigenLayer and MOF go up and down completely randomly.

Pair Corralation between EigenLayer and MOF

If you would invest  0.00  in EigenLayer on August 30, 2024 and sell it today you would earn a total of  389.00  from holding EigenLayer or generate 9.223372036854776E16% return on investment over 90 days.

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

EigenLayer  vs.  MOF

EigenLayer

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in EigenLayer are ranked lower than 10 (%) 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.

MOF

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days MOF has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, MOF is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with EigenLayer and MOF

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

The idea behind EigenLayer and MOF 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.