Correlation Between EigenLayer and Gigachad

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

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

Diversification Opportunities for EigenLayer and Gigachad

0.91

Correlation Coefficient

EigenLayer  Gigachad

Almost no diversification

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

Pair Corralation between EigenLayer and Gigachad

Assuming the 90 days trading horizon EigenLayer is expected to under-perform the Gigachad. But the crypto coin apears to be less risky and, when comparing its historical volatility, EigenLayer is 1.51 times less risky than Gigachad. The crypto coin trades about -0.18 of its potential returns per unit of risk. The Gigachad is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest  5.66  in Gigachad on December 25, 2024 and sell it today you would lose (3.65) from holding Gigachad or give up 64.49% of portfolio value over 90 days.

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

EigenLayer  vs.  Gigachad

EigenLayer

Risk-Adjusted Performance

Very Weak

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

Gigachad

Risk-Adjusted Performance

Very Weak

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

Pair Trading with EigenLayer and Gigachad

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

The idea behind EigenLayer and Gigachad 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.