Correlation Between EigenLayer and KAN
Can any of the company-specific risk be diversified away by investing in both EigenLayer and KAN 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 KAN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EigenLayer and KAN, you can compare the effects of market volatilities on EigenLayer and KAN 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 KAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and KAN.
Diversification Opportunities for EigenLayer and KAN
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between EigenLayer and KAN is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and KAN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KAN 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 KAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KAN has no effect on the direction of EigenLayer i.e., EigenLayer and KAN go up and down completely randomly.
Pair Corralation between EigenLayer and KAN
Assuming the 90 days trading horizon EigenLayer is expected to generate 85.6 times more return on investment than KAN. However, EigenLayer is 85.6 times more volatile than KAN. It trades about 0.13 of its potential returns per unit of risk. KAN is currently generating about 0.07 per unit of risk. If you would invest 0.00 in EigenLayer on September 14, 2024 and sell it today you would earn a total of 498.00 from holding EigenLayer or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
EigenLayer vs. KAN
Performance |
Timeline |
EigenLayer |
KAN |
EigenLayer and KAN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EigenLayer and KAN
The main advantage of trading using opposite EigenLayer and KAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, KAN 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 KAN will offset losses from the drop in KAN's long position.The idea behind EigenLayer and KAN 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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