Correlation Between MWAT and EigenLayer

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

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

Diversification Opportunities for MWAT and EigenLayer

0.11

Correlation Coefficient

MWAT  EigenLayer

Average diversification

The 3 months correlation between MWAT and EigenLayer is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding MWAT and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and MWAT 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 MWAT are associated (or correlated) with EigenLayer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EigenLayer has no effect on the direction of MWAT i.e., MWAT and EigenLayer go up and down completely randomly.

Pair Corralation between MWAT and EigenLayer

If you would invest  0.00  in EigenLayer on September 1, 2024 and sell it today you would earn a total of  361.00  from holding EigenLayer or generate 9.223372036854776E16% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	1.54%
Values	Daily Returns

MWAT  vs.  EigenLayer

MWAT

Risk-Adjusted Performance

0 of 100

Very Weak

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

EigenLayer

Risk-Adjusted Performance

9 of 100

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.

Pair Trading with MWAT and EigenLayer

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

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