Correlation Between EigenLayer and Casper Network
Can any of the company-specific risk be diversified away by investing in both EigenLayer and Casper Network 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 Casper Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EigenLayer and Casper Network, you can compare the effects of market volatilities on EigenLayer and Casper Network 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 Casper Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and Casper Network.
Diversification Opportunities for EigenLayer and Casper Network
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between EigenLayer and Casper is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and Casper Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Casper Network 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 Casper Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Casper Network has no effect on the direction of EigenLayer i.e., EigenLayer and Casper Network go up and down completely randomly.
Pair Corralation between EigenLayer and Casper Network
Assuming the 90 days trading horizon EigenLayer is expected to generate 2.25 times less return on investment than Casper Network. But when comparing it to its historical volatility, EigenLayer is 1.26 times less risky than Casper Network. It trades about 0.27 of its potential returns per unit of risk. Casper Network is currently generating about 0.48 of returns per unit of risk over similar time horizon. If you would invest 0.66 in Casper Network on September 5, 2024 and sell it today you would earn a total of 1.44 from holding Casper Network or generate 219.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
EigenLayer vs. Casper Network
Performance |
Timeline |
EigenLayer |
Casper Network |
EigenLayer and Casper Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EigenLayer and Casper Network
The main advantage of trading using opposite EigenLayer and Casper Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, Casper Network 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 Casper Network will offset losses from the drop in Casper Network's long position.The idea behind EigenLayer and Casper Network 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.Casper Network vs. Staked Ether | Casper Network vs. EigenLayer | Casper Network vs. EOSDAC | Casper Network vs. BLZ |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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