Correlation Between EigenLayer and Dogwifhat

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

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

Diversification Opportunities for EigenLayer and Dogwifhat

0.91

Correlation Coefficient

EigenLayer  Dogwifhat

Almost no diversification

The 3 months correlation between EigenLayer and Dogwifhat is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and dogwifhat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on dogwifhat 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 Dogwifhat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of dogwifhat has no effect on the direction of EigenLayer i.e., EigenLayer and Dogwifhat go up and down completely randomly.

Pair Corralation between EigenLayer and Dogwifhat

Assuming the 90 days trading horizon EigenLayer is expected to generate 1.28 times less return on investment than Dogwifhat. In addition to that, EigenLayer is 1.05 times more volatile than dogwifhat. It trades about 0.12 of its total potential returns per unit of risk. dogwifhat is currently generating about 0.16 per unit of volatility. If you would invest  50.00  in dogwifhat on April 20, 2025 and sell it today you would earn a total of  51.00  from holding dogwifhat or generate 102.0% return on investment over 90 days.

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

EigenLayer  vs.  dogwifhat

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.

dogwifhat

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in dogwifhat are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Dogwifhat exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with EigenLayer and Dogwifhat

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

The idea behind EigenLayer and dogwifhat 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.