Correlation Between OpenLedger and EigenLayer

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

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

Diversification Opportunities for OpenLedger and EigenLayer

0.75

Correlation Coefficient

OpenLedger  EigenLayer

Poor diversification

The 3 months correlation between OpenLedger and EigenLayer is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding OpenLedger and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and OpenLedger 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 OpenLedger 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 OpenLedger i.e., OpenLedger and EigenLayer go up and down completely randomly.

Pair Corralation between OpenLedger and EigenLayer

Assuming the 90 days trading horizon OpenLedger is expected to generate 15.46 times more return on investment than EigenLayer. However, OpenLedger is 15.46 times more volatile than EigenLayer. It trades about 0.12 of its potential returns per unit of risk. EigenLayer is currently generating about 0.12 per unit of risk. If you would invest  0.39  in OpenLedger on July 11, 2025 and sell it today you would earn a total of  62.61  from holding OpenLedger or generate 15930.53% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.46%
Values	Daily Returns

OpenLedger  vs.  EigenLayer

OpenLedger

Risk-Adjusted Performance

Fair

Compared to the overall equity markets, risk-adjusted returns on investments in OpenLedger are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, OpenLedger exhibited solid returns over the last few months and may actually be approaching a breakup point.

EigenLayer

Risk-Adjusted Performance

Fair

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 OpenLedger and EigenLayer

The main advantage of trading using opposite OpenLedger and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OpenLedger 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 OpenLedger 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.