Correlation Between EigenLayer and CAPP
Can any of the company-specific risk be diversified away by investing in both EigenLayer and CAPP 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 CAPP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EigenLayer and CAPP, you can compare the effects of market volatilities on EigenLayer and CAPP 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 CAPP. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and CAPP.
Diversification Opportunities for EigenLayer and CAPP
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between EigenLayer and CAPP is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and CAPP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CAPP 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 CAPP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CAPP has no effect on the direction of EigenLayer i.e., EigenLayer and CAPP go up and down completely randomly.
Pair Corralation between EigenLayer and CAPP
Assuming the 90 days trading horizon EigenLayer is expected to generate 1.09 times less return on investment than CAPP. In addition to that, EigenLayer is 1.83 times more volatile than CAPP. It trades about 0.05 of its total potential returns per unit of risk. CAPP is currently generating about 0.1 per unit of volatility. If you would invest 0.01 in CAPP on November 8, 2024 and sell it today you would lose 0.00 from holding CAPP or give up 25.32% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
EigenLayer vs. CAPP
Performance |
| Timeline |
| EigenLayer |
| CAPP |
EigenLayer and CAPP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with EigenLayer and CAPP
The main advantage of trading using opposite EigenLayer and CAPP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, CAPP 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 CAPP will offset losses from the drop in CAPP's long position.The idea behind EigenLayer and CAPP 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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