Correlation Between Uniswap Protocol and EigenLayer
Can any of the company-specific risk be diversified away by investing in both Uniswap Protocol 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 Uniswap Protocol and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uniswap Protocol Token and EigenLayer, you can compare the effects of market volatilities on Uniswap Protocol 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 Uniswap Protocol with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uniswap Protocol and EigenLayer.
Diversification Opportunities for Uniswap Protocol and EigenLayer
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Uniswap and EigenLayer is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Uniswap Protocol Token and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and Uniswap Protocol 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 Uniswap Protocol Token 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 Uniswap Protocol i.e., Uniswap Protocol and EigenLayer go up and down completely randomly.
Pair Corralation between Uniswap Protocol and EigenLayer
Assuming the 90 days trading horizon Uniswap Protocol is expected to generate 5.38 times less return on investment than EigenLayer. But when comparing it to its historical volatility, Uniswap Protocol Token is 6.24 times less risky than EigenLayer. It trades about 0.05 of its potential returns per unit of risk. EigenLayer is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 0.00 in EigenLayer on August 25, 2024 and sell it today you would earn a total of 258.00 from holding EigenLayer or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 58.25% |
Values | Daily Returns |
Uniswap Protocol Token vs. EigenLayer
Performance |
Timeline |
Uniswap Protocol Token |
EigenLayer |
Uniswap Protocol and EigenLayer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uniswap Protocol and EigenLayer
The main advantage of trading using opposite Uniswap Protocol and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uniswap Protocol 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.Uniswap Protocol vs. Staked Ether | Uniswap Protocol vs. EigenLayer | Uniswap Protocol vs. EOSDAC | Uniswap Protocol 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
CEOs Directory Screen CEOs from public companies around the world | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |