Correlation Between FARM and EigenLayer
Can any of the company-specific risk be diversified away by investing in both FARM 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 FARM and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FARM and EigenLayer, you can compare the effects of market volatilities on FARM 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 FARM with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of FARM and EigenLayer.
Diversification Opportunities for FARM and EigenLayer
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between FARM and EigenLayer is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding FARM and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and FARM 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 FARM 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 FARM i.e., FARM and EigenLayer go up and down completely randomly.
Pair Corralation between FARM and EigenLayer
Assuming the 90 days trading horizon FARM is expected to generate 40.93 times less return on investment than EigenLayer. But when comparing it to its historical volatility, FARM is 2.97 times less risky than EigenLayer. It trades about 0.01 of its potential returns per unit of risk. EigenLayer is currently generating about 0.12 of returns per unit of risk over similar time horizon. 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 | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FARM vs. EigenLayer
Performance |
Timeline |
FARM |
EigenLayer |
FARM and EigenLayer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FARM and EigenLayer
The main advantage of trading using opposite FARM and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FARM 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 FARM 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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