Correlation Between Sui and EigenLayer
Can any of the company-specific risk be diversified away by investing in both Sui 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 Sui and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sui and EigenLayer, you can compare the effects of market volatilities on Sui 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 Sui with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sui and EigenLayer.
Diversification Opportunities for Sui and EigenLayer
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sui and EigenLayer is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Sui and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and Sui 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 Sui 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 Sui i.e., Sui and EigenLayer go up and down completely randomly.
Pair Corralation between Sui and EigenLayer
Assuming the 90 days trading horizon Sui is expected to generate 0.7 times more return on investment than EigenLayer. However, Sui is 1.43 times less risky than EigenLayer. It trades about 0.01 of its potential returns per unit of risk. EigenLayer is currently generating about -0.02 per unit of risk. If you would invest 373.00 in Sui on November 18, 2024 and sell it today you would lose (31.00) from holding Sui or give up 8.31% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sui vs. EigenLayer
Performance |
| Timeline |
| Sui |
| EigenLayer |
Sui and EigenLayer Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sui and EigenLayer
The main advantage of trading using opposite Sui and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sui 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 Sui 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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