Correlation Between Staked Ether and Wrapped EETH
Can any of the company-specific risk be diversified away by investing in both Staked Ether and Wrapped EETH 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 Staked Ether and Wrapped EETH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Staked Ether and Wrapped eETH, you can compare the effects of market volatilities on Staked Ether and Wrapped EETH 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 Staked Ether with a short position of Wrapped EETH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Staked Ether and Wrapped EETH.
Diversification Opportunities for Staked Ether and Wrapped EETH
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Staked and Wrapped is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Staked Ether and Wrapped eETH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wrapped eETH and Staked Ether 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 Staked Ether are associated (or correlated) with Wrapped EETH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wrapped eETH has no effect on the direction of Staked Ether i.e., Staked Ether and Wrapped EETH go up and down completely randomly.
Pair Corralation between Staked Ether and Wrapped EETH
Assuming the 90 days trading horizon Staked Ether is expected to generate 1.01 times less return on investment than Wrapped EETH. But when comparing it to its historical volatility, Staked Ether is 1.01 times less risky than Wrapped EETH. It trades about 0.27 of its potential returns per unit of risk. Wrapped eETH is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 188,021 in Wrapped eETH on April 23, 2025 and sell it today you would earn a total of 196,573 from holding Wrapped eETH or generate 104.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Staked Ether vs. Wrapped eETH
Performance |
Timeline |
Staked Ether |
Wrapped eETH |
Staked Ether and Wrapped EETH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Staked Ether and Wrapped EETH
The main advantage of trading using opposite Staked Ether and Wrapped EETH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Staked Ether position performs unexpectedly, Wrapped EETH 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 Wrapped EETH will offset losses from the drop in Wrapped EETH's long position.The idea behind Staked Ether and Wrapped eETH 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.Wrapped EETH vs. Wrapped Beacon ETH | Wrapped EETH vs. Staked Ether | Wrapped EETH vs. EigenLayer | Wrapped EETH vs. EOSDAC |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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