Correlation Between LUNC and EigenLayer
Can any of the company-specific risk be diversified away by investing in both LUNC 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 LUNC and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LUNC and EigenLayer, you can compare the effects of market volatilities on LUNC 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 LUNC with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of LUNC and EigenLayer.
Diversification Opportunities for LUNC and EigenLayer
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between LUNC and EigenLayer is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding LUNC and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and LUNC 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 LUNC 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 LUNC i.e., LUNC and EigenLayer go up and down completely randomly.
Pair Corralation between LUNC and EigenLayer
Assuming the 90 days trading horizon LUNC is expected to generate 49.39 times less return on investment than EigenLayer. But when comparing it to its historical volatility, LUNC is 2.72 times less risky than EigenLayer. It trades about 0.01 of its potential returns per unit of risk. EigenLayer is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 98.00 in EigenLayer on April 24, 2025 and sell it today you would earn a total of 36.00 from holding EigenLayer or generate 36.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LUNC vs. EigenLayer
Performance |
Timeline |
LUNC |
EigenLayer |
LUNC and EigenLayer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LUNC and EigenLayer
The main advantage of trading using opposite LUNC and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LUNC 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 LUNC 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.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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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