Correlation Between EigenLayer and LSK

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

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

Diversification Opportunities for EigenLayer and LSK

0.05

Correlation Coefficient

EigenLayer  LSK

Significant diversification

The 3 months correlation between EigenLayer and LSK is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and LSK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LSK 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 LSK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LSK has no effect on the direction of EigenLayer i.e., EigenLayer and LSK go up and down completely randomly.

Pair Corralation between EigenLayer and LSK

Assuming the 90 days trading horizon EigenLayer is expected to generate 2.26 times more return on investment than LSK. However, EigenLayer is 2.26 times more volatile than LSK. It trades about 0.12 of its potential returns per unit of risk. LSK is currently generating about -0.03 per unit of risk. If you would invest  95.00  in EigenLayer on April 22, 2025 and sell it today you would earn a total of  60.00  from holding EigenLayer or generate 63.16% return on investment over 90 days.

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

EigenLayer  vs.  LSK

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.

LSK

Risk-Adjusted Performance

Very Weak

Over the last 90 days LSK has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's forward-looking signals remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for LSK shareholders.

Pair Trading with EigenLayer and LSK

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

The idea behind EigenLayer and LSK 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.