Correlation Between FileCoin and EigenLayer
Can any of the company-specific risk be diversified away by investing in both FileCoin 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 FileCoin and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FileCoin and EigenLayer, you can compare the effects of market volatilities on FileCoin 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 FileCoin with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of FileCoin and EigenLayer.
Diversification Opportunities for FileCoin and EigenLayer
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between FileCoin and EigenLayer is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding FileCoin and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and FileCoin 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 FileCoin 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 FileCoin i.e., FileCoin and EigenLayer go up and down completely randomly.
Pair Corralation between FileCoin and EigenLayer
Assuming the 90 days trading horizon FileCoin is expected to generate 9.74 times less return on investment than EigenLayer. But when comparing it to its historical volatility, FileCoin is 2.41 times less risky than EigenLayer. It trades about 0.03 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 92.00 in EigenLayer on April 21, 2025 and sell it today you would earn a total of 62.00 from holding EigenLayer or generate 67.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FileCoin vs. EigenLayer
Performance |
Timeline |
FileCoin |
EigenLayer |
FileCoin and EigenLayer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FileCoin and EigenLayer
The main advantage of trading using opposite FileCoin and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FileCoin 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 FileCoin 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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